Engg-Mechanical

Research area: Bio-inspired lattice structures are materials/structures characterized by their unique property for their lightweight. Their superior performance and unique deformation mechanism are often attributed to their architecture, which can include various geometries and microstructural features, and unique topologies. Bio-inspired materials exhibit enhanced mechanical properties such as energy absorption and fracture resistance, making them valuable in various sectors such as automotive, aerospace, construction, and biomedical.

Student roles:
The student will develop equations for describing the behaviour of cellular structures, then fabricate and test bio-inspired cellular structures under tensile and compression loads. A 3D FE model of the specimens will be created in collaboration with a graduate student to check the accuracy of the developed equations. The student will compare their test results with model predictions with the help of the graduate student and the supervisors. At the end, the student is asked to write a summary report based on their findings.

Skills required:
The student should have strong background in solid mechanics and mechanics of materials. Being familiar with modelling or fabrication/testing or using commercial finite element software (e.g. ANSYS, ABAQUS, SAP 2000) is an asset.

Research area: Our research focuses on the intersection of dynamic systems and advanced manufacturing, with a particular emphasis on machining processes involving complex or variable materials. A key theme at the Dynamics and Digital Manufacturing (DDM) lab of UVic is the development of intelligent, physics-informed models and control strategies for robotic and CNC-based fabrication systems. This includes work on real-time monitoring, adaptive toolpath planning, and hybrid data-driven/physics-based modeling techniques.

Student roles:
Primary responsibilities will include:
- Assist in setting up and calibrating sensors (e.g., force, vibration, vision, or acoustic) to monitor cutting conditions and detect wood variability.
- Support the execution of machining experiments on a KUKA robotic platform and collect performance data under varying material conditions.
- Contribute to the programming and refinement of robotic toolpaths using CAD/CAM tools or custom scripts to respond to material features.
- Analyze sensor data to identify correlations between material properties and machining response; assist in validating adaptive control algorithms.
- Work closely with graduate students and faculty in the lab, contribute to research discussions, and prepare reports or visualizations summarizing key findings.

The role is ideal for a motivated student with foundational knowledge in robotics, mechanical systems, or mechatronics, and an interest in sustainable manufacturing and digital fabrication. Depending on the student’s strengths, tasks may be more focused on experimental work, programming, or modeling

Skills required:
Ideal candidates will have a background in mechanical engineering, mechatronics, robotics, or computer science. Experience in any of the following is an asset:

- MATLAB, Python, or C++ programming
- Sensor integration (force, vibration, vision)
- CAD/CAM tools or robotic control

Research area: My research expertise is related to the development of multifunctional polymer nanocomposites, the understanding of process-microstructure-property relationships and the control of morphology during processing. My current research focuses on the development of advanced polymer nanocomposites and hierarchically structured micro-nanocomposites based on sustainable and recycled polymers and enriched with graphene and 2D materials, for emerging applications in energy harvesting and storage, construction, electronic packaging, light transportation and aerospace.

Student roles:
The intern student or the 2 intern students to be involved in this project will participate and will gain knowledge in different aspects related to polymer science and specefically related to composites/nanocomposites and extrusion-based additive manufacturing. The student/students will participate in the following activities:
- Melt compounding and filament extrusion of electrically conductive polymer nanocomposites.
-Electrical conductivity measurements and evaluation of the electrical percolation threshold.
- Rheological, thermal and mechanical characterization of the fabricated nanocomposites by respectively: melt flow index, rotational rheometry, thermal gravimetric analysis and tensile/flexural/impact resistance tests.
- Microstructural characterization of the resulting nanocomposites by microscopy and correlation between macroscopic properties, microstructure and conductive nanofillers dispersion state.
- Analysis of the different characterization results and selection of optimized nanocomposites compositions to achieve better processability and printability.
- 3D printing of selected nanocomposites and studying the printing conditions.
- Working in close collaboration with a doctoral student and another undergraduate intern.
-Presenting occasionally the main findings of his/her research project in group meetings.

Skills required:
- Strong background in materials science and mechanical engineering
- Good background in polymer science as well as composites/nanocomposites materials is an asset
- Good knowledge of polymer characterization techniques is an asset
- Good analysis skills
- Critical thinking
- Ability to work independantly and in collaboration with other team members and in multicultural inclusive research environment

Research area: Research in corrosion engineering, advanced coatings, and thin-film materials for harsh-environment applications. The work focuses on degradation mechanisms, protective coatings, and structure–property relationships in advanced surface-engineered materials.

Student roles:
The student will support laboratory experiments, sample preparation, coating deposition, electrochemical and corrosion testing, microscopy and characterization work, literature review, data interpretation, and report preparation. The intern will participate in collaborative research discussions and gain practical experience in advanced coatings research.

Skills required:
Background in materials engineering, corrosion engineering, chemical engineering, mechanical engineering, or related fields. Interest in laboratory research, coatings, electrochemistry, and advanced materials is preferred.

Research area: For over twenty years we have been working to improve the machinability of materials and the machining practices in industry. Machining is a source of pollution (used fluid, harmful aerosols and particles). The generated fine particles and nanoparticles represent a danger to health. We study the generation of these particles during machining in order to reduce them at the source. This research aims to study and optimize the machining of dusty materials to make it competitive and safe through the development of means of capturing and reducing dust at the source or machining conditions optimization.

Student roles:
Depending on the skills and background of the selected student, he will be asked to participate in the design of technological solutions including the modification of the tooling, to optimize the machining conditions or to study the effects of the machining parameters and strategies on productivity, part quality and particle emissions (nanoparticles and fine particles).
He will have to do computer-aided design, computer-aided manufacturing, machine tool operation, parts inspection, data collection and analysis.
In addition, he will have to:
• review the literature on existing concepts and solutions;
• plan and run experiments;
• analyze data;
• prepare and present the results of his work using MS-office, write a report and / or initiate the writing of a scientific article.
• participate in laboratory group meetings and present results.

Skills required:
The required skills must include two to three of the following:
• Design & manufacture;
• Tooling design;
• Planning and conducting of experiments;
• Data analysis: statistics, ANOVA;
• Writing reports and / or articles;
• Work on machine tools;
• Metrology and inspection;
• Characterization of materials;
• Teamwork.

Research area: Strand-based green composites are made from natural fibre (e.g. wood or bamboo) or synthetic FRP strands bonded with a minimal amount of resin (a thermoset polymer). As the industry seeks to replace synthetic resins containing toxic chemicals with bio-based alternatives, it becomes crucial to develop reliable equations for predicting the mechanical properties of various strand-based composites. Developing a set of design equations enable sustainable composite manufactures to accelerate the design of durable, environmentally friendly materials for the next generation of green structures.

Student roles:
It is expected that the student develops technical skills in creating and running FE simulations, writing computer scripts in python, and developing macros in Excel.

Skills required:
Prior experience in using finite element analysis computer software such as ABAQUS and being familiar with python and excel are required.

Research area: This research focuses on autonomous mobile robotics for indoor environmental monitoring and building performance assessment. The lab specializes in thermodynamics, thermal comfort, indoor air quality (IAQ), and climate-resilient building systems (HVAC). A key challenge is that mobile robots collect environmental data sequentially across space and time, yet accurate evaluation of thermal comfort and HVAC control requires spatially synchronized, simultaneous measurements. The lab integrates robotics, AI/machine learning, and building science to develop predictive algorithms and real-time visualization platforms for smart building management and energy efficiency.

Student roles:
The intern will work under the direct supervision of the principal investigator and collaborate with the lab’s research team. Responsibilities are divided across three core tasks aligned with the project’s milestones: Algorithm Development, Environmental Test, and Real-Time Visualization Platform.

Skills required:
The ideal candidate is a graduate student in mechanical engineering, electrical engineering, computer science, or a related field, with a strong background in at least two of the following areas: programming (Python, MATLAB, or C++); machine learning or data science; robotics (ROS, path planning, sensor integration); building science or HVAC systems; and data visualization. Experience with time-series analysis or spatiotemporal modeling is an asset. Good communication skills in English or French and the ability to work independently in a multidisciplinary team are required.

Research area: I have been involved in academic and industrial research and development works over last 10 years. The overall theme of my research has been and continues to be clean energy conversion mechanisms modeling and related hardware development. In particular, the focus of my most recent research is to develop and further advance vibration based MPG (Micro Power Generator), therporaoustic (thermal-porous-acoustics) system, waste heat recovery system, and novel low-environmental impact cooling system. Other areas of interests include (a) thermoacoustic engine and refrigeration systems, (b) flexible power drive and clean energy conversion mechanisms, (c) thermal management of electronic and building.

Student roles:
The student who will engage this project will
 Prepare a literature review to be familiar with battery thermal management research works.
 Join a thermal design and analysis short course.
 Design battery thermal management system, perform energy input, output, and storage analyses
 Modify an existing prototype for experimental measurement
 Validate the analytical model and experimental work.
 Write technical reports of the obtained results.

Skills required:
The student must have a basic knowledge of heat transfer, fluid mechanics, thermodynamics, and energy conversion process. Students from Mechanical and Mechatronics Engineering in or beyond the third and fourth year are applicable for this project. In addition, a good knowledge in COMSOL, Matlab, and Microsoft Excel is a plus point.

Research area: This research focuses on the development of advanced bioinspired hybrid surfaces for aerospace-grade metallic substrates. It integrates femtosecond laser fabricated biomimetic textures with functional anti-icing coatings. The project lies at the intersection of laser microfabrication, surface engineering, icephobics, and aerodynamics. Inspired by the microstructural geometry of sharkskin riblets, the proposed surfaces aim to simultaneously reduce aerodynamic drag and mitigate ice formation and adhesion, addressing two of the most critical performance and safety challenges in aerospace. Carried out under the co-supervision of Prof. Gelareh Momen (ÉTS) and Prof. Anne Kietzig (McGill University), this work combines expertise in anti-icing coatings, ultrafast laser

Student roles:
The student will actively participate in the fabrication, characterization, and evaluation of bioinspired hybrid surfaces for anti-icing and drag reduction. The main tasks include:



Femtosecond laser machining of shark-skin-inspired sinusoidal microstructures

Deposition and curing of functional anti-icing coatings onto laser-textured substrates

Surface characterization using SEM, AFM, confocal microscopy, and contact-angle goniometry to assess morphology, roughness, and wettability

Ice adhesion testing and freezing delay experiments under controlled sub-zero conditions

Durability evaluation under freeze–thaw cycling, abrasion, and UV exposure

Data analysis, interpretation, and technical report writing

Skills required:
The ideal candidate should be an undergraduate student in materials engineering, engineering physics, chemistry, chemical engineering, or materials engineering. Preferred qualifications include:

Background in fluid mechanics, heat transfer, or materials science

Familiarity with surface engineering, thin film coatings, or materials characterization techniques

Basic understanding of wettability, tribology, or ice phobic materials.

Familiarity with laboratory techniques and materials characterization

Interest in laser manufacturing, nanotechnology, or bioinspired surface design

Experience with or curiosity toward laboratory instrumentation such as SEM, AFM, profilometry, or contact-angle goniometry

Ability to analyze experimental data and communicate results

Research area: The research focuses on evaluating and optimizing green firebreaks as nature-based solutions for wildfire risk mitigation. Using Computational Fluid Dynamics (CFD), specifically the Fire Dynamics Simulator (FDS), I investigate how different vegetation parameters impact fire behavior, radiant heat flux, and smoke dispersion around buildings. The object is to quantify these critical design parameters at the building scale to better protect structures and human health from the escalating threats of wildfires.

Student roles:
Primary responsibilities will include setting up and running building-scale wildfire scenarios using the Fire Dynamics Simulator (FDS) under various controlled wind conditions. The intern will systematically adjust and test key green firebreak design parameters across different simulation cases, specifically altering the vegetation's distribution pattern, density, width, horizontal distance, crown base height, moisture content, and physical location.
Following the simulation phase, the student will be responsible for using the FDS software and conducting ANOVA data analysis. This involves calculating and comparing critical response variables around the modeled buildings, including soot density and radiant heat flux. The student will also help synthesize these analytical findings to evaluate the efficiency of various configurations, directly contributing to the development of optimal green firebreak designs for wildfire smoke mitigation and building protection in WUI environments.

Skills required:
The student should ideally have a background in fire safety engineering, environmental engineering, or computational fluid mechanics. Experience with Computational Fluid Dynamics (CFD) software, specifically the Fire Dynamics Simulator (FDS), is highly desirable to conduct the numerical simulations. Additionally, the student must possess strong data analysis skills to process and interpret simulation outputs, such as time-averaged soot density and radiant heat flux. Familiarity with statistical analysis to evaluate the significance of different variables is also a strong plus.

Research area: My research focuses on multiphysics modeling, optimization, and experimental analysis of thermal energy storage systems for renewable energy integration and industrial decarbonization. I develop advanced numerical models to study fluid flow and heat transfer in porous and packed-bed media, with applications in buildings, greenhouses, mining, and high-temperature energy storage. My work combines CFD modeling, thermodynamic analysis, and sensitivity studies to improve the design and operation of rock-based thermal energy storage systems using different geomaterials. The goal is to develop efficient, scalable, and economically viable storage solutions for net-zero energy systems.

Student roles:
The student will contribute to the numerical modeling, sensitivity analysis, and optimization of geomaterial-based thermal energy storage systems. Depending on their background and interest, their role may include:

• Developing or improving CFD models for packed-bed thermal energy storage systems;
• Studying the impact of different geomaterials on heat transfer, pressure drop, and storage efficiency;
• Performing parametric and sensitivity analyses to identify the most influential design and operating parameters;
• Comparing different storage configurations, particle sizes, porosities, inlet conditions, and charging/discharging strategies;
• Using MATLAB, Python, or other numerical tools for data analysis, post-processing, and optimization;
• Reviewing scientific literature related to rock-based thermal energy storage, geomaterials, and CFD modeling;
• Preparing technical reports, figures, and presentations to communicate the main findings.

The student may also contribute to the interpretation of experimental data if available during the internship. The project will provide an opportunity to work at the intersection of heat transfer, fluid mechanics, numerical simulation, material selection, and renewable energy integration. The final objective is to support the development of improved design guidelines for efficient and scalable thermal energy storage systems.

Skills required:
Applicants should have a background in mechanical engineering, civil engineering, chemical engineering, energy systems, or a related field. Knowledge of heat transfer, fluid mechanics, thermodynamics, and numerical modeling is highly desirable. Experience with CFD, finite volume or finite element methods, MATLAB, Python, or similar tools would be an asset. The student should be motivated to work on multidisciplinary research involving thermal energy storage, geomaterials, and renewable energy systems. Good analytical skills, scientific curiosity, and the ability to communicate results through reports and presentations are expected.

Research area: Focusing on the interface between energy and mining engineering, I aim to tackle today’s climate and energy challenges by decarbonizing energy systems in mines. Research in my lab develops and implements clean energy technology, accelerating towards a sustainable future for the mining industry. It advances the areas of mine electrification, mine ventilation, heating and cooling, renewable energy, and energy storage.

Student roles:
Milestone 1: Literature review and definition of model scope, geometry, and simulation objectives.
Milestone 2: Field data collection at the mine site, including air velocity, temperature, and gas concentration measurements.
Milestone 3: CFD model development in ANSYS Fluent, including tunnel geometry meshing and boundary condition setup.
Milestone 4: Model validation against field measurements and refinement of mesh and simulation parameters.
Milestone 5: Parametric studies on ventilation configurations and development of optimization recommendations.

Skills required:
- Heat Transfer (or related courses)
- Fluid Mechanics (or related courses)
- HVAC or Mine Ventilation (or related courses)
- Programming skills in Python or MATLAB (or willing to learn)

Research area: This research focuses on urban thermal airflows, with an emphasis on anthropogenic heat dispersion in outdoor built environments. Computational fluid dynamics (CFD) and scaled wind tunnel experiments are applied to simulate and analyze buoyancy-driven thermal flows under atmospheric boundary-layer conditions. The research aims to understand how anthropogenic heat released from typical types of urban sources, such as air-conditioning outdoor units, is transported and accumulated in street canyons, and how these processes affect outdoor thermal comfort and urban heat mitigation.

Student roles:
The student will support the CFD-based study of an ongoing research project on anthropogenic heat dispersion in urban street canyons. The main tasks will include preparing CFD simulation cases (in OpenFOAM), modifying geometric configurations (using 3D modelling software), defining boundary conditions, running simulations, and post-processing results. Possibility of running the simulations on the clusters will be provided.

The student will first become familiar with the existing wind tunnel experimental dataset and baseline CFD model. They will then help generate additional simulation cases to investigate parameters that were not fully covered in the experiments, such as wind conditions, alternative urban layouts, different canyon configurations, and various AC unit arrangements. The student may also assist in checking mesh quality, performing sensitivity tests, and comparing simulation results with available experimental measurements.

Another important part of the role will be data analysis. The student will extract relevant indicators, such as velocity profiles, heat or scalar accumulation levels, pedestrian-level exposure, and ventilation performance. They will help organize simulation results into a structured dataset that can be used for statistical or data-driven modeling. Depending on progress and skill level, the student may also assist with developing simple regression or machine-learning models to relate urban design parameters to heat accumulation outcomes.

The student will be expected to document their work clearly, prepare figures and summary tables, and participate in regular research discussions. The role is suitable for a student interested in CFD, urban climate, heat transfer, environmental fluid mechanics, and climate-resilient urban design.

Skills required:
The student should have a background in mechanical engineering, civil engineering, building engineering, energy engineering, or a related field. Experience with CFD, fluid mechanics, heat transfer, and fundamental knowledge in built environment is required. Previous experiences of using OpenFOAM and ANSYS Fluent would be preferred. Familiarity with data-analysis tools (e.g., Python, MATLAB) would be an asset. The student should be comfortable working with numerical data, preparing simulation cases, post-processing results, and producing clear figures for presenting findings. Good communication skills in English and the ability to work independently are also important.

Research area: My research focuses on the use of computational modelling, wearables and assistive devices to promote people's health, performance and patient outcome.

Student roles:
1. Design a cable-driven mechanism for a scoliosis brace.
2. Manufacture and validate the designed brace.
3. Provide weekly updates on project progress.

Skills required:
1. Proficiency with computer aid design software (e.g., SolidWorks, Blender)
2. Experience with cable-driven mechanism design
3. Experience with prototyping and fabrication

Research area: My research expertise spans several fields, including passive control of noise and vibrations, numerical modeling and simulation in vibroacoustics, robotics, artificial intelligence and production, and structure inspection. I explore ways to optimize the performance of mechanical systems using innovative techniques and by combining different disciplines. My objective is to contribute to creating sustainable and practical solutions to improve people's quality of life.

Student roles:
The intern will be responsible for designing and validating finite element models and statistical energy analysis (SEA) for aircraft fuselage structures. They will need to design sophisticated numerical models to simulate the transmission of noise and vibrations through different parts of the aircraft, using software tools such as Catia, SolidWorks, Simcenter 3D, Femap, VA One, Nova, Matlab, and Python. They will also need to validate these models by comparing the results with experimental data and conducting comparative analyses to ensure the accuracy and reliability of the models.

Skills required:
We seek a creative, independent, detail-oriented, and creative student with solid teamwork skills for this internship. The ideal candidate should have a background in engineering or a related field and a solid understanding of the following software tools: Catia, SolidWorks, Simcenter 3D, Femap, VA One, Nova, Matlab, and Python.

Additionally, the candidate should have experience in design and modeling, programming, and data analysis. They should also be able to communicate effectively and work collaboratively with a team of researchers to accomplish project goals. Experience with vibroacoustic or structural acoustics modeling would be a plus.

Research area: My specialized research area is the design and development of advanced architected materials and metamaterial structures with tailored mechanical responses, including nonlinear and coupled behaviors, for applications such as adaptive structures, mechanical sensing, energy absorption, and multifunctional load-bearing systems. This research integrates computational modeling, additive manufacturing, and experimental characterization to understand and engineer material responses that go beyond conventional materials.

Student roles:
The role of the student can be summarized in the following three items:

• Perform computational modeling to derive the governing equations and stiffness characteristics of the metamaterial laminate under material and geometrical linear and nonlinear assumptions.
• Perform finite element analysis to simulate the nonlinear mechanical behavior of metamaterial laminates and extract stiffness matrix components including bending, extensional, and coupling responses
• Assist in the design and fabrication of metamaterial laminate specimens using additive manufacturing techniques and conduct experimental characterization under quasi-static loading conditions
• Analyze and compare computational and experimental results, and work closely with a graduate student to validate models and refine the understanding of nonlinear behavior in metamaterial systems

Skills required:
The student requires a solid understanding of mechanics of materials, particularly advanced solid mechanics, including material and geometric linearity and nonlinearity and architected metamaterials. The student should have familiarity with composite materials and laminate theory, as well as an understanding of stiffness matrices including bending, extensional, and coupling terms. The student is also required to have experience or background in finite element analysis using software (e.g., ANSYS) for modeling complex mechanical systems.
In addition, the student should be familiar with additive manufacturing techniques and basic experimental methods for mechanical characterization, particularly load-displacement analysis under quasi-static loading conditions.

Research area: Heat exchangers can be found everywhere that thermal management is needed, such as data centers, battery pack of electrical vehicles, microelectronics, petrochemical facilities, as well as HVAC systems to name but a few. One of the most important heat exchange mechanisms is condensation. We also work with water recovery systems, surface engineering and droplet surface interactions in general in scientific and industrial contexts.

Student roles:
Responsibilities include preparing and coating test surfaces, operating experimental setups, collecting temperature and humidity data, and analyzing droplet growth and heat flux using imaging techniques. You will also help troubleshoot equipment, maintain lab safety protocols, and document findings for research reports. Collaboration with senior researchers and team discussions will be key to refining experimental methods and interpreting results for potential applications in energy-efficient cooling and thermal management systems.

Skills required:
Familiarity with Data acquisition systems
Ability to conduct hands-on experimental work
Basic data manipulation and knowledge of MATLAB or similar programs
Good oral and written skills
Being a team player and having initiative is a must. Must be self motivated. Good time management, ability to meet deadlines, and a sense of curiosity is essential for success.
I welcome applications from all students with varied backgrounds, gender, physical abilities, and creeds. We will strive to accommodate the needs and special circumstances of selected people to achieve their individual peak performance.

Research area: Spine biomechanics research has made considerable advancement with the use of in silico research platforms which continue to improve along with advancing computing power. The ability to explore biomechanical principles and new hypotheses by means of virtual in silico platforms presents an efficient and effective method. Within our research group, we evaluate how spinal stability is achieved and maintained to better understand how instability and subsequent disorders arises. Finite element analysis is an important tool used for these studies within our group. We are now extending this analysis to bench side studies via the construction of a new robotic spine.

Student roles:
The student will assemble and build a robotic spine in order to perform experiments of stability thereafter. The spine will comprise analogue bone, soft tissues and muscles. Muscles will be pneumatic in nature and will be connected to a valve and pressure control system. Student will be charged will composing a Matlab/Labview program to handle the control of the valves (to engage and disengage muscles) as a function of the position of the spine. The position of the spine will be tracked in real-time via an electromagnetic 3D tracking system. Hence, the position of the spine will be controlled by the pneumatic muscles and the introduced spine loading. Once, the spine is assembled, the tracking system installed and the pneumatic muscles programed, the student will work with other lab members to conduct experiments.
Thereafter, the student will be charged provide a technical report as to their findings. The student will meet with the supervising professor on a weekly basis as part of the regular weekly lab meetings. Project progress will also be reported every two weeks by way of a concise document.
Student will be offered independence as far as the work schedule as full flex time is practiced within the lab. This freedom is based on student performance. However, during scheduled meetings the student is expected to be presence.

Skills required:
The research intern candidate is expected to have interest in biomechanics and biomedical Engineering. Experience in robotics and mechatronics would be an asset for the execution of the project. Matlab/Labview coding and experience for data pre- and post-processing is a strong plus. The student should be comfortable working in a team setting and with suppliers. Furthermore, the student should have strong communication skills.

Research area: Many of today's environmental challenges come down to one basic question: how do water and air move? The answer lies in fluid dynamics. The way currents and winds carry particles and heat shapes problems such as how pollution spreads, how ice melts, and how air moves around the things we build. Yet these processes remain poorly understood. In the TEE Lab (Turbulence and Environmental Experiments) at the University of Ottawa, students tackle these questions through hands-on fluid dynamics experiments, using a combination of cameras and light sources to reveal the physics behind real-world problems and contribute to protecting our environment.

Student roles:
The student will take part in hands-on laboratory experiments in fluid dynamics, working closely with the research team in the TEE Lab. The project explores how microplastic particles move through flowing water, using controlled experiments in a recirculating water tunnel to reveal the physics behind their transport.

The student will prepare model particles with different shapes, sizes, and densities to represent common types of microplastics. These particles will be released into a recirculating water channel, where their motion is recorded using cameras. The student will track how the particles move using tools such as MATLAB or Python to compare how different particles behave with the moving water. This hands-on process shows how an experiment develops from idea to results.

Through this project, the student will develop valuable and transferable skills in experimental design, data analysis, and scientific visualisation, while gaining first-hand experience of how fundamental fluid mechanics can be applied to one of today's pressing environmental problems. Alongside these skills, the student will become part of a collaborative research team, sharing ideas and learning alongside others tackling related questions in the lab.

Skills required:
We are looking for students with a basic understanding of fluid mechanics and some programming experience in MATLAB or Python. Experience with CAD design is helpful. We provide full hands-on training, so no prior experimental research experience is necessary. You will learn techniques for measuring and visualizing fluid flow, as well as how to detect, track, and analyze objects using image processing techniques. Beyond technical skills, we value curiosity, patience, strong organizational skills, and enthusiasm for environmental problems. A collaborative spirit is equally important, as you will share lab space and equipment with other students and researchers working alongside you.

Research area: The Concordia Turbulence Research Lab (CTRL) focuses on studying turbulent flows through a combination of experimental investigations and computational fluid dynamics (CFD) simulations. Turbulent flows, which occur at relatively high Reynolds numbers, are characterized by irregular fluctuations, complex mixing, and chaotic behavior, distinguishing them from more predictable laminar flows. Current research areas include aerodynamics, active flow control, and the integration of physics-informed machine learning techniques for modeling and predicting flow behavior.

Student roles:
The student will conduct a focused review of the literature on ML-based flow estimation and closed-loop flow control strategies. They will perform URANS simulations to model separated and unstable flow regimes around low-Reynolds-number airfoils and generate sensor-based datasets for model development. The student will design, train, and validate deep learning models for flow-state prediction and instability detection within a control-oriented framework. They will be expected to write a final technical report and contribute to a conference paper based on the project outcomes.

Skills required:
The ideal candidate will have a background in Mechanical or Aerospace/Aeronautical Engineering or a related discipline, along with a solid understanding of fluid mechanics. Prior experience or familiarity with CFD tools and programming in MATLAB or Python will be beneficial. A basic understanding of machine learning concepts and techniques, including recurrent neural networks, will be considered a strong asset for this project.

Research area: Prof. Knopf’s interdisciplinary research activities involve 3D geometric modeling, new materials and fabrication techniques for creating the next generation of mechanically flexible optical and electronic devices, light-driven micromachines, and wearable sensor systems. His research activities include: chemical synthesis of environmentally benign electrically conductive graphene-derivative inks; novel fabrication processes for printing optically transparent electrodes and circuitry on mechanically flexible substrates; design of microstructures for large area optical sheets; advanced laser material processing; and biologically-based light activated transducers. He has recently authored the books “Light Driven Micromachines” (CRC Press) and “Elastomeric Optics: Theory, Design and Fabrication” (De Gruyter GmbH).

Student roles:
The student will undertake a preliminary study on single-use electronic sensors for environmental monitoring, design a simple degradable sensor that responds to the identified measurand, and experimentally test the device under controlled laboratory conditions. The research is challenging because the critical design and sensor fabrication parameters need to be established. It will also be important to propose methods of integrating these degradable sensors with existing instrumentation and/or IoT technology. The intern will also explore the LIG process, material properties for creating degradable carbon-based electronics, and experimental methods for characterizing the electrical behaviour of the fabricated films.

Skills required:
The applicant should have a strong engineering background, and research interest, in engineering materials and/or advanced fabrication technology. The ability to competently use standard laboratory instrumentation and electronic measurement systems is expected. Finite element modeling experience would be an asset. The specific tasks to be completed by the student will be developed based on the applicant’s academic background and demonstrated technical strengths.

Research area: Prof. Knopf’s interdisciplinary research activities involve 3D geometric modeling, new materials and fabrication techniques for creating the next generation of mechanically flexible optical and electronic devices, light-driven micromachines, and wearable sensor systems. His research activities include: chemical synthesis of environmentally benign electrically conductive graphene-derivative inks; novel fabrication processes for printing optically transparent electrodes and circuitry on mechanically flexible substrates; design of microstructures for large area optical sheets; advanced laser material processing; and biologically-based light activated transducers. He has recently authored the books “Light Driven Micromachines” (CRC Press) and “Elastomeric Optics: Theory, Design and Fabrication” (De Gruyter GmbH).

Student roles:
The intern will undertake a detailed study of underlying principles, perform interdisciplinary design, undertake mathematical analysis and develop computer simulations, and experimentally test key concepts in a laboratory environment. All simulation studies and experiments must be properly documented with clearly stated goals, structured methodology, thorough analyses, and detailed assessment of results. Note that any experimental testing will be performed in a lab and not in actual orbit.

Skills required:
The applicant should have a strong engineering background, and research interest, in engineering materials and/or advanced fabrication technology. The ability to competently use standard laboratory instrumentation and electronic measurement systems is expected. Finite element modeling experience would be an asset. The specific tasks to be completed by the student will be developed based on the applicant’s academic background and demonstrated technical strengths.

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, Digital Manufacturing, Precision Manufacturing, 3D Coordinate Metrology Additive Manufacturing and Rapid Prototyping of sculptured Surfaces, CAD/CAM/CAE, Computational Geometry, Reverse Engineering.

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, Digital Manufacturing, Precision Manufacturing, 3D Coordinate Metrology Additive Manufacturing and Rapid Prototyping of sculptured Surfaces, CAD/CAM/CAE, Computational Geometry, Reverse Engineering.

Research area: This research focuses on the design, modeling, and control of continuum robotic manipulators for advanced robotic applications. The work combines soft robotics, additive manufacturing, robotic design, and intelligent control to develop flexible robotic systems capable of operating in complex and constrained environments. By leveraging modern 3D-printing technologies and novel tendon-routing strategies, the research aims to create new classes of continuum robots with enhanced dexterity, compliance, and motion capabilities for applications in medical robotics, aerial manipulation, industrial inspection, and autonomous robotic systems.

Student roles:
The student will assist in designing and prototyping novel continuum robotic arms, developing tendon-routing concepts, and conducting simulations and experimental evaluations of the proposed systems. The student will document design procedures, analyze experimental results, and participate in regular research meetings with the supervisory team. Contributions toward publications, technical reports, and prototype development are also expected.

Skills required:
The ideal student should have a background in robotics, mechanical engineering, mechatronics, or related fields. Experience with CAD software, 3D printing, or robotic prototyping is highly desirable. Familiarity with Python, MATLAB, or C++ programming is considered an asset. Knowledge of robotics, kinematics, or continuum robot concepts is beneficial but not mandatory. The student should be interested in hands-on experimental work, design innovation, and interdisciplinary robotics research.

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, CAD/CAM/CAE, Computational Geometry, Reverse Engineering. Surface Reconstruction Vehicle Structural Design, Topology optimization, FEA-Based Design Optimization, programming

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, CAD/CAM/CAE, Computational Geometry, Reverse Engineering. Surface Reconstruction Vehicle Structural Design, Topology optimization, FEA-Based Design Optimization, programming

Research area: My research focuses on computational modelling, wearable technologies, and assistive devices to understand and enhance human movement, with the goal of improving health outcomes, physical performance, and rehabilitation effectiveness.

Student roles:
1. Designs and analyses the four-bar linkage and overall structure using CAD and simulation tools (e.g., SolidWorks, Adams).
2. Fabricates, assembles, and iteratively refines the mechanical system. Handles prototyping methods such as machining, 3D printing, and component alignment.
3. Develops the motor-driven actuation system to generate repeatable cyclic motion. Implements basic control (e.g., speed regulation, microcontroller programming, and optional feedback control).
4. Integrates sensors and data acquisition systems to measure forces and motion during operation.

Skills required:
1. Mechanical design and analysis of four-bar linkage system (SolidWorks, MSC Adams).
2. Prototyping and fabrication of mechanical components.
3. Design of control systems for actuator-driven motion.

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, Digital Manufacturing, Precision Manufacturing, 3D Coordinate Metrology Additive Manufacturing and Rapid Prototyping of sculptured Surfaces, CAD/CAM/CAE, Computational Geometry, Reverse Engineering.

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistance

Skills required:
Design and Manufacturing, Digital Manufacturing, Precision Manufacturing, 3D Coordinate Metrology Additive Manufacturing and Rapid Prototyping of sculptured Surfaces, CAD/CAM/CAE, Computational Geometry, Reverse Engineering, Additive Manufacturing, programming

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistance

Skills required:
Design and Manufacturing, Digital Manufacturing, Precision Manufacturing, 3D Coordinate Metrology Additive Manufacturing and Rapid Prototyping of sculptured Surfaces, CAD/CAM/CAE, Computational Geometry, Reverse Engineering, Additive Manufacturing, programming

Research area: Dr. Barari is a full professor in Department of Mechanical and Manufacturing Engineering and a Research Excellence Chair at Ontario Tech University, Canada. He is the director of the Advanced Digital Design, Manufacturing and Metrology laboratories (AD2Mlabs) at Ontario Tech University (www.AD2Mlabs.com). Dr. Barari serves currently as the chair of Intelligent Manufacturing Systems Working Group (https://tc.ifac-control.org/5/1/members/ahmad-barari), and the Scientific vice-chair at Technical Committee on Manufacturing Plant Control (TC 5.1) in International Federation of Automatic Control (IFAC). Dr. Barari has been primarily involved in research and development in engineering design and advanced manufacturing technologies for over 25 years.

Student roles:
Research assistant

Skills required:
Design and Manufacturing, CAD/CAM/CAE, Computational Geometry, Surface Reconstruction Vehicle Structural Design, Topology optimization, FEA-Based Design Optimization

Research area: My research focuses on advanced robotics and mechatronics, particularly the kinematic design, dynamic modeling, and motion control of kinematically redundant parallel robots. A central theme of my expertise is physical human-robot interaction (pHRI), utilizing macro-mini robotic systems to achieve intuitive, delicate, and sensorless interactions. Furthermore, my applied research tackles modern industrial automation challenges, including robotic weld joint detection, automated grinding processes, and heavy payload handling. My research scope has expanded to include the dynamic modeling and control of humanoid robots in challenging contexts.

Student roles:
Using SolidWorks, they will design the 3D CAD models of the manipulator, including linkages, joints, and custom end-effectors.
Using MATLAB, they will formulate the complex math (forward and inverse kinematics). They will then export their CAD designs into Simscape Multibody to run simulations, testing how the robot's joints and velocities respond to different movement paths.
Finally, They will help build a prototype of the robot by selecting the right motors (actuators) and using 3D printing.

Skills required:
Academic Background: Currently in the final year of a Bachelor’s degree in Mechanical Engineering, Robotics, Mechatronics, or a closely related field.
CAD Proficiency: Strong hands-on experience with 3D CAD modeling, specifically involving complex assemblies and moving parts (SolidWorks is highly preferred).
Mathematical Modeling: Solid understanding of robotic kinematics and dynamics, with proven experience using MATLAB to solve complex mathematical models and matrices.

Research area: The Living with Assistive and Interactive Robots (LAIR) Lab at Concordia University focuses on examining physical and social human-robot interaction (psHRI) in order to achieve safe, comfortable, and intuitive interactions with autonomous robotic assistants in the areas of home care, retail, manufacturing, or healthcare. This is accomplished by using multimodal analysis of the human (e.g., posture, gesture, touch, emotion, physiological signals, etc.), compliant control algorithms, machine intelligence, and device design.

Student roles:
The role of the student(s) is to develop their skills and knowledge in virtual reality, robot control, and user study design:
- Learn the current state of the art in VR and HRI by reading scientific literature
- Choose and design a user study to validate one particular aspect of VR in HRI
- Develop the experiment using Unity and ROS
- Develop the experimental protocol, ethics application, conduct a pilot study, and analyze the data
- Write clear documentation on the entire project
- Meet weekly with the supervisor to discuss progress and project direction

Skills required:
The ideal student will have a knowledge of robotics, virtual reality, and be a strong programmer:
- Proficient in programming (C++ or Python)
- Experience working with virtual reality
- Experience with Robot Operating System (ROS)

Research area: Fluid mechanics and aerodynamics

Student roles:
The student with work in our research group using the existing data set to develop and benchmark new data analysis techniques.

Skills required:
Background in fluid mechanics from a mechanical engineering or closely related program is required. Programming skills are essential.

Research area: This research focuses on robotics and mechatronics, particularly the design of low mechanical impedance robots for safe interaction in unstructured environments. It integrates mechanical design, control systems, and sensing technologies to bridge the gap between artificial intelligence and physical robotic systems. The work emphasizes flexible and compliant robots capable of operating in real-world applications such as healthcare, agriculture, and manufacturing.

Student roles:
The intern will contribute to the design, development, and validation of robotic systems. Responsibilities include participating in the mechanical and electronic design of experimental setups and robotic prototypes, as well as assisting in modeling and control of flexible robotic systems. The student may also support the integration of sensors and the testing of novel actuator designs.
The work will involve hands-on prototyping, simulations, and experimental validation. The intern is expected to collaborate with team members, communicate progress effectively, and contribute to research documentation. This role provides exposure to advanced robotics research in a collaborative and interdisciplinary environment.

Skills required:
Applicants should have a background in mechanical, electrical, or robotic engineering (Bachelor’s or Master’s level). Strong interest in robotics, mechatronics, and autonomous systems is essential. Experience in mechanical design, modeling, and simulation is an asset. Candidates should demonstrate autonomy, problem-solving ability, and good communication skills.

Research area: Dr. Mohammad Khondoker's areas of interest include developing smart additive manufacturing (AM) technologies, 3D printing of unconventional materials, designing polymer-based composite materials, chemical processing or treatments of functional materials, synthesis of nanomaterials, and rheological/mechanical characterizations. Dr. Khondoker has previously developed AM systems to print liquid metal-based stretchable electronics, parts made of intermixed extrudates of chemically immiscible polymers, devices consisting of extremely soft thermoplastic elastomers, etc.

Student roles:
1. Design the extruder head with a co-axial nozzle.
2. Perform computational fluid dynamics analysis of the extruder feeds
3. Integrate the custom extruder head with an existing 3D printer.
4. Characterize the inflation of extrudates at different temperatures and extrusion rate
5. Optimize and propose the printing parameters to achieve desired diameter for inflated extrudate
6. Develop printing path program allowing printing of parts using the inflated extrudates.

Skills required:
The ideal student candidate for this project should have experience with mechanical design and CAD modeling, material science and characterization, and polymer 3D printing. Experience with SEM, rheological analysis, and UV curable vitrimer epoxy would be an added advantage.

Research area: Pr Blais expertise lies in the development, verification, and validation of high performance digital models for fluid mechanics, heat transfer, and complex multi-physical and multi-scale phenomena. His research interests are in computational fluid mechanics (CFD), reacting flows, granular and solid-fluid flows, topology optimization as well as high-performance computing on distributed high-performance architecture and on GPU. He is the core developer of Lethe, an opens source high-performance and high-order implicit CFD solver (https://github.com/lethe-cfd/lethe) based on the open source DEALII platform (www.dealii.org).

Student roles:
With guidance from the supervisor, the student will realize benchmark simulations of the open source Lethe CFD-DEM platform and enhance the CFD-DEM coupling within the platform.
For the benchmarking, the student will investigate the fluidization of particles and measure the impact of: the coupling strategy, the order of the CFD scheme and the projection scheme for the DEM. He will measure how these elements affect the pressure drop, the velocity profile and the particle motion.
At the same time, the student will program additional coupling physics including new drag correlations and particle projection scheme. Using the above-mentioned benchmark simulation, he will measure how his implementations affect the efficiency of the CFD-DEM coupling.
The student will be responsible for designing all the simulations which includes creating the meshes for the geometries, launching the simulations in an HPC environment, programming post-processing capabilities and interpreting the simulation results.

Skills required:
The applicant should be curious, autonomous and should have a keen interest for simulation and modelling. The candidate should be familiar with fluid mechanics, computational fluid dynamics (CFD) and classical mechanics. Some basic knowledge of the Linux command shell (bash) and some programming experience (C++, Python) are required as this project will require some software development. Previous experience with the finite element method (FEM) or the discrete element method (DEM) is an asset but is not mandatory.

Research area: The Laboratory of Fluid Mechanics and Applications (LFMA) conducts research in pure and applied fluid mechanics. We use state-of-the-art experimental and numerical methods to study complex and unsteady flows. Currently, the LFMA is pioneering the theory and applications of pulsed fluid jet arrangements. We are researching applications of pulsed jets to act as vortex generators to mitigate flow separation over airfoils, to propel and maneuver aquatic vehicles and to shed light on certain cardiovascular and urogenital diseases. The LFMA has recognized expertise in modern and advanced post-processing and modelling methods applicable to a wide range of fluid flows.

Student roles:
The student will play an integral role in the development of a prototype of the open force balance system. This 12-week research internship will consist of four principal phases: (1) literature review; (2) design and manufacturing; (3) programming and calibration; (4) testing.

Weeks 1-3: The student will be expected to gain a basic understanding of the principles behind forces balances. Most importantly, the student will conduct a literature review on force balance mechanisms, existing commercial solutions, and previous iterations of the lab. The student will begin to search and evaluate the different options for load measurement.

Weeks 4-6: The student will design the three-component force balance. The design philosophy is to make use of standard parts and simple manufacturing techniques (e.g., 3D-printing, laser cutting) within reason. The student will conduct an analysis of the design in order to ensure proper force and moment separation from the load measurements. Moreover, the student will estimate the minimum and maximum forces and moments that can be measured.

Weeks 7-9: The student will manufacture, assemble, program, and test the force balance. The student will program the data acquisition system. The student will conduct simple tests to calibrate the force balance using, for example, a series of laboratory weights to produce known forces and moments.

Weeks 10-12: The student will test the system on an example laboratory flow, namely, the flow over a hydrofoil at two different angles of attack. The student will evaluate the functioning of the force balance. The student will write a brief report summarizing the work conducted during the internship and explaining how the system can be improved based on the results. The remainder of the internship, time-permitting, will be devoted to improving the performance of the system.

Skills required:
The student should be comfortable with electronics. Prior experience with Arduino or Raspberry Pi is recommended. Good mathematical and programming skills are required (e.g., MATLAB, Python, LabVIEW). Experience with computer-aided design (CAD) software is an asset. The available CAD software are CATIA and SolidWorks. The student should have a good understanding of undergraduate fluid mechanics (e.g., pressure and velocity fields) and be comfortable with performing hands-on (experimental) work.

Research area: Smart thermostats adjust building temperature and humidity setpoints according to occupancy status, building use, and live energy pricing. This technology can reduce building electricity and fossil fuel consumption and therefore the environmental impact of buildings by lowering their greenhouse gas emissions. This technology also reduces energy costs for buildings. The Atmospheric Innovations Research (AIR) lab is developing a smart thermostat for implementation in real buildings. A thermostat is already made and needs to be refined, certified, and pilot-tested on some buildings in Guelph. An undergraduate student is being sought after to help with the smart thermostat project.

Student roles:
- Student is expected to be physically present at the job every day. No remote work is possible.
- Student should go to the field site, University Avenue on UofG campus, and download data daily.
- Student should be available to visit buildings in Guelph to install, monitor, and trouble-shoot the thermostat.

Skills required:
- Students from mechanical, electrical, systems and computer engineering programs are preferred.
- The student should have a windows-based laptop in good condition to collect field data.
- Knowledge in computer programming is essential, especially python programming.
- Knowledge in electric circuits and sensors are essential.
- Knowledge in post-processing of environmental data using python programming is essential.

Research area: Dr. Mohammad Khondoker's areas of interest include developing smart additive manufacturing (AM) technologies, 3D printing of unconventional materials, designing polymer-based composite materials, chemical processing or treatments of functional materials, synthesis of nanomaterials, and rheological/mechanical characterizations. Dr. Khondoker has previously developed AM systems to print liquid metal-based stretchable electronics, parts made of intermixed extrudates of chemically immiscible polymers, devices consisting of extremely soft thermoplastic elastomers, etc.

Student roles:
The students will seek to determine which materials (both resin and reinforcements) are suitable for DLP technology, the surface treatments of the nanomaterials, optimal material
composition, processing parameters, design considerations for shape memory polymers, and applications, and the final part properties. The goal of this project is to demonstrate the technical capability and proof-of-concept of DLP processing of reinforced resin composites with aligned fiber. The specific tasks of the students in this project are to (1) identify at least a pair of compatible resin/fiber materials for DLP printing, (2) perform surface treatment of the reinforcing fiber material to enhance magnetic responsiveness (if necessary), (3) modify an existing DLP printer and integrate with an external magnetic system, and (4) develop optimized DLP printing recipe/protocols of such composites for improved mechanical, electrical and thermal properties. Once the technical demonstration is performed, the students will also aim to manufacture composites of thermoset shape memory polymer (TSMP) reinforced with suitable fibers, which may act as a resistive system to introduce thermally activated self-excitation of the SME. Besides the progressive research activities, the students will also contribute to one journal publication.

Skills required:
The ideal student candidate for this project should have experience with mechanical design and CAD modeling, material science and characterization, and polymer 3D printing. Experience with SEM, rheological analysis, and UV curable vitrimer epoxy would be an added advantage.

Research area: Dr. Guo specializes in research and teaching in the area of controlled environment for greenhouses and livestock barns. She developed the odour setback distance model OFFSET for livestock operations, set odour guidelines for the Province of Saskatchewan, and proposed comprehensive indoor air quality index for animal barns. Her research group also developed technologies for greenhouse energy saving and dehumidification.

Student roles:
The student will be working together with graduate student(s) and supervisor, conduct literature review, select a final design from the reviewed alternatives, build a prototype, and move into lab-based testing.

Skills required:
A student in mechanical, agricultural or biological engineering should have the academic background to work on this project, propose the design, build and conduct lab test in 4 months.

Research area: The project research focuses on building energy simulation, indoor environmental quality, and climate-resilient building design. I use simulation tools such as EnergyPlus and DesignBuilder to evaluate building thermal performance, energy consumption, indoor temperature variation, and the effectiveness of passive and active mitigation strategies. My research emphasizes building envelope performance, ventilation, infiltration, shading, thermal insulation, and passive cooling/heating methods, with the goal of improving energy efficiency, occupant comfort, and resilience under current and future climate conditions.

Student roles:
The student will be responsible for developing and analyzing EnergyPlus-based building simulation models to evaluate the performance of different passive building strategies. The main tasks will include collecting building information, preparing geometry and construction inputs, defining internal loads, schedules, HVAC assumptions, ventilation settings, and weather files for the simulation model.
The student will conduct parametric simulations to compare the impact of each passive method on indoor thermal comfort and building energy performance. Simulation outputs such as indoor temperature, heating and cooling loads, energy use intensity, peak demand, and overheating hours will be analyzed.
In addition, the student will be expected to organize simulation results, create clear figures and tables, interpret findings, and contribute to technical reports, presentations, and research publications. The role requires careful model setup, systematic data processing, and critical analysis of how passive strategies can improve building performance under different weather and climate conditions.
Through this project, the student will gain practical experience in building energy modeling, passive design assessment, climate-resilient building simulation, and evidence-based retrofit evaluation.

Skills required:
The student should have a background in civil, mechanical, architectural, or building engineering. Basic knowledge of building physics, heat transfer, HVAC systems, and indoor thermal comfort is required. Experience with building energy simulation tools such as EnergyPlus, DesignBuilder, Jeplus, or similar software is preferred. Skills in data analysis, model calibration, sensitivity analysis, and programming tools such as Python, MATLAB, or Excel would be beneficial. The student should also have problem-solving skills, attention to detail, and the ability to interpret simulation results and prepare technical reports.

Research area: My research focuses on the development of microfluidic systems for precision fluid manipulation and real-time flow characterization. This includes the design and fabrication of microfluidic devices, integration of flow control elements, and application of advanced optical diagnostics such as particle image velocimetry (PIV), fluorescence imaging, and high-speed visualization. The goal is to enable high-resolution, quantitative analysis of microscale fluid dynamics for applications in biomedical diagnostics, lab-on-a-chip systems, and soft robotics.

Student roles:
• Device Design and Modeling: Create and refine 3D models of microfluidic components using SolidWorks software.
• Fabrication and Assembly: Prototyping and fabrication of microfluidic chips using additive manufacturing techniques or other fabrication methods.
• Experimental Setup and Operation: Set up and calibrate optical systems for flow diagnostics, including cameras, microscopes, lasers/LEDs, and PIV or fluorescence imaging equipment.
• Data Collection and Analysis: Conduct experiments to capture flow behavior; develop and use MATLAB scripts for image processing, data extraction, and quantitative flow analysis.
• Documentation and Reporting: Maintain detailed lab notebooks, prepare presentation materials, and contribute to reports summarizing methods, results, and interpretations.
• Collaboration: Work effectively in a small team, share findings regularly, and participate in discussions to troubleshoot problems and improve experimental outcomes.

Skills required:
1. CAD and 3D Modeling: Experience with SolidWorks for designing microfluidic devices or mechanical components.
2. Programming: Proficiency in MATLAB for data analysis, image processing, and basic algorithm development;
3. Data Analysis: Strong analytical skills for processing experimental data, interpreting flow measurements, and generating quantitative results.
4. Optical/Imaging Systems: Basic understanding of optics, or imaging systems is desirable. Prior experience with particle image velocimetry (PIV) is an advantage.
5. Microfabrication: Exposure to fabrication techniques such as 3D printing, soft lithography, or cleanroom processes
7. Documentation and Communication: Document technical work, experimental procedures, and research outcomes and participate in team

Research area: Dr. Yang’s research integrates experimental, numerical, and analytical approaches to enhance the fundamental understanding of combustion characteristics in reactive flows, with applications in industrial explosions, detonation hazard mitigation, and propulsion.

Student roles:
Performing experiments, analyzing data, and preparing a final report at the end of the internship

Skills required:
The student should have a strong background in mechanical, aerospace, chemical engineering, or a closely related field. Prior laboratory experience is preferred. Familiarity with data processing tools such as Python is also desirable.

Research area: Utilizing flow turbulence to further engineering system performance. The primarily focus is to maximize the exploitation of nearly-omnipresent flow turbulence to improve the performance of green energy systems.

Student roles:
Conduct literature review, wind tunnel experiments, and/or computational fluid dynamic simulations. Analyze results, compile the findings in writing and update/present to the supervisor regularly. Ideally, near the end of the intern, the intern, in collaboration with the advisor, should be able to make at least one high-quality scientific/academic publication.

Skills required:
A teachable, keen, curious and creative mind . Basic fluid mechanics, thermodynamics and heat transfer knowledge. Desired but not mandatory: experimental and numerical skills.

Research area: My Research is mainly focused on advanced manufacturing processes including machining and metal additive manufacturing. My research covers areas such as simulation of machining operations and modelling material behavior particularly advanced difficult-to-cut materials such as titanium and superalloys that are widely used in aerospace industry. I am currently focused on post-process finish machining of additive manufactured metallic parts and studying their mechanical properties.

Student roles:
The initial task is to review the information relevant to the machinability and material characteristics of additively manufactured metals, previously gathered by summer students in 2022 and 2023. Upon completing this first phase (lasting 2-3 weeks), the student will engage in configuring a test setup, which includes conducting tensile tests to obtain basic mechanical properties, performing milling tests, and measuring cutting forces. The acquired forces will be used to check the validity of the Finite Element Model. Additionally, the student will capture and analyze cutting forces using a dynamometer. Responsibilities also include writing reports and manuals. Required training will be provided to ensure safety.

Skills required:
The successful candidate must possess a strong background in engineering, design, mathematics, and programming. Additionally, the candidate should demonstrate honesty, self-motivation, punctuality, and a passion for discovery. Knowledge of manufacturing processes (both additive and subtractive), material behavior, data acquisition, and proficiency in Finite Element Modelling along with MATLAB or Python programming are advantageous. The candidate must be capable of working both independently and collaboratively within a team. Strong written and oral English communication skills are essential assets.

Research area: Our research combines classical thermal-fluids science and heat transfer with innovative additive manufacturing technologies and materials to support the development of a new generation of energy transport, exchange, and conversion technologies. It involves the additive manufacturing heat exchange components and technologies, fundamental and applied boiling and condensation research, thermal interface materials and electronics cooling technologies. Our research leverages the strengths of experimental research with analytical and numerical modelling to create impactful scientific contributions and innovative R&D deliverables to industrial partners.

Student roles:
Students will design, fabricate, and operate apparatuses for the characterization of heat transfer and two-phase flow.
They will develop technical drawings, perform engineering design calculations and simulations, fabricate the components, and characterize and assess the performance of these apparatuses. In addition, students will prepare samples, perform thermal measurements, assess the results, and make comparisons to established models.
They will communicate their findings orally during weekly meetings and will author a final paper which for submission to a conference or a journal at the end of their project.

Skills required:
Good working knowledge of Mechanical Engineering
Excellent practical, hands-on abilities
Ability to fabricate and test components
Experimental data collection and analysis
Good verbal, written and presentation communication skills
Able to self-motivate and work well with limited direction
Creative thinkers

Research area: My research focuses on building energy management, specifically HVAC systems, renewable integration, and novel mechanical systems. I am particularly interested in advanced control algorithms, such as model-based predictive control, and their role in building-to-grid interaction. To support this, I develop "digital twins" with an appropriate level of complexity for designing and testing control strategies. Additionally, I study thermal energy storage management to enhance energy exchanges with the grid and other carriers.

Student roles:
1. Modelling of a Multi-Unit Residential Building (MURB): The student will develop the detailed geometry and thermal layout of the building using EnergyPlus or DesignBuilder, ensuring the accuracy of structural and energy parameters.

2. Design of Parametric Simulation Scenarios: He or she will design baseline scenarios to test various variables (weather, setpoints, loads). The use of EMS scripting will enable the simulation of complex control logic and the overriding of actuators in EnergyPlus, if needed.

3. Dataset Creation and Structuring: Based on the simulations, the student will use Python and the Pandas library to extract, clean, and structure the generated data to build a clean, usable database.

4. Surrogate Model Development (Time Permitting): If the schedule allows, the student will explore the creation of surrogate or reduced-order models (e.g., via Scikit-Learn or RC models) to quickly approximate the building's thermal behaviour.

5. Final Report Writing: The project will conclude with the writing of a clear summary report, documenting the methodology, the data structure, and the results obtained.

Skills required:
The student is expected to have an intermediate level of familiarity with EnergyPlus (or DesignBuilder) to develop the building's geometry and thermal layout. Prior experience with weather file management in EnergyPlus is considered an asset. The ability to utilize EnergyPlus Energy Management System (EMS) scripting to override actuators and simulate complex control logic is highly desirable. Furthermore, the position requires proficiency in Python for data analysis (Pandas) along with an introductory understanding of surrogate or reduced-order modelling approaches (e.g., Scikit-Learn, RC models).

Research area: My research focuses on microscale thermofluidic systems for energy harvesting and advanced thermal management. I develop and characterize two-phase fluidic devices based on phase-change and capillary phenomena, including self-oscillating fluidic heat engines (SOFHE), heat-driven micro-pumps, and pulsating heat pipes. My work integrates experimental characterization, microfabrication, and system-level design to enable efficient heat-to-mechanical-to-electrical energy conversion. A key objective is to create compact, self-powered, and self-regulated systems that operate without external energy input. These technologies target applications in the Internet of Things (IoT), electronics cooling.

Student roles:
The student will contribute to the development and experimental investigation of a self-oscillating fluidic heat engine (SOFHE) for thermal energy harvesting.
Initially, the student will gain familiarity with the operating principles of two-phase oscillatory systems and the experimental setup. They will assist in designing and assembling test devices, including microfluidic channels and transducers.
A major part of the work will involve experimental characterization. The student will perform experiments to measure pressure fluctuations, oscillation frequency, and amplitude using pressure sensors and high-speed imaging. These measurements will be used to reconstruct thermodynamic cycles and estimate mechanical power output.
The student will also investigate the effect of design parameters such as geometry, working fluid, and temperature on system performance. Data analysis and interpretation will be conducted using tools such as Python or MATLAB. The student will contribute to optimizing system performance and identifying key physical mechanisms governing energy conversion.
In addition, the student will document experimental procedures, prepare figures, and present results during group meetings. Opportunities may exist to contribute to publications or conference presentations.
This project provides hands-on experience in thermofluidics, experimental research, and energy systems, while contributing to the development of self-powered technologies.

Skills required:
The ideal candidate has a background in mechanical engineering, chemical engineering, or a related field. Knowledge of thermodynamics, heat transfer, and fluid mechanics is required, while familiarity with two-phase flows or microfluidics is an asset. Experience with experimental work, instrumentation, and data analysis is desirable. Skills in CAD (SolidWorks, Fusion 360) and programming (Python or MATLAB) are a plus. The student should be motivated, detail-oriented, and comfortable working in a laboratory environment, with strong problem-solving skills and the ability to work independently.

Research area: My research focuses on microscale thermofluidic systems for advanced thermal management and energy applications. I develop and characterize two-phase microfluidic devices, including self-oscillating fluidic heat engines (SOFHE), heat-driven micro pumps, and pulsating heat pipes, to enable efficient heat transport and energy conversion. My work integrates microfabrication, 3D printing, experimental characterization, and system-level design to address high heat flux challenges in electronics and energy systems. A key objective is to leverage phase-change phenomena and capillary effects to create compact, passive, and self-regulated thermal solutions. These technologies have strong potential for applications in microelectronics cooling, battery thermal management, and autonomous microfluidic.

Student roles:
The student will play an active role in the design, fabrication, and experimental characterization of the heat-driven microfluidic pump.
Initially, the student will become familiar with the operating principles of the SOFHE and the micro jet pump, as well as the experimental setup. They will assist in the preparation and assembly of test devices, including microfabricated components and fluidic connections.
A key responsibility will be conducting experiments to evaluate system performance. This includes measuring flow rates, pressure fluctuations, and temperature distributions under different operating conditions. The student will also contribute to data acquisition and analysis, using tools such as Python or MATLAB to process and interpret results.
The student will participate in design iterations, exploring how parameters such as channel geometry, heat input, and working fluids influence performance. This may involve CAD modeling and interaction with fabrication processes such as 3D printing or microfabrication.

In addition, the student will contribute to documenting results, preparing figures, and presenting findings in group meetings. There may also be opportunities to contribute to scientific publications or conference presentations, depending on project progress.
Overall, the student will gain hands-on experience in microfluidics, heat transfer, and experimental research, while contributing to the development of an innovative cooling technology with strong industrial relevance.

Skills required:
The ideal candidate will have a background in mechanical engineering, chemical engineering, or a related field with strong fundamentals in thermodynamics and fluid mechanics. Experience with heat transfer, microfluidics, or two-phase flow is an asset. Familiarity with experimental work, data analysis, and basic instrumentation is desirable. Skills in CAD (e.g., SolidWorks or Fusion 360) and/or programming (Python, MATLAB) are beneficial. The student should be motivated, curious, and comfortable working in a laboratory environment. Strong problem-solving abilities and communication skills are important, as the project involves both hands-on experimentation and interpretation of results.

Research area: My research specializes in nature-inspired and biomimetic engineering, with a focus on computational modeling of fluid-structure interactions and multi-physics systems. I develop advanced numerical methods to investigate the mechanics of biological and bio-inspired systems operating in complex aerodynamic and hydrodynamic environments. My work integrates computational fluid dynamics, structural mechanics, nonlinear dynamics, and data-driven analysis to study propulsion, energy harvesting, flow sensing, and collective behavior in natural and engineered systems. Applications of this research include underwater and aerial robotics, renewable energy technologies, biological locomotion, and multimodal sensing inspired by living organisms.

Student roles:
The student will play an active role in the computational investigation of fluid-structure-odor interactions in fish schooling configurations. Under the direct supervision of the PI, the student will contribute to literature review, computational model development, simulation setup, data analysis, and dissemination of research findings. Specific responsibilities will include preparing and modifying computational geometries, generating high-quality numerical meshes, setting up and executing simulations using an in-house immersed-boundary method-based solver, VorteXdyn, and post-processing large datasets using tools, including MATLAB and Python. The student will assist in analyzing hydrodynamic flow structures, odor transport mechanisms, and interactions between flexible fish-like bodies within various schooling arrangements. The student will also help evaluate the effects of swimming kinematics, body flexibility, and positioning of fish on collective sensing and locomotion performance. In addition, the student will participate in regular research meetings, present progress updates, maintain detailed documentation of computational procedures and results, and contribute to the preparation of technical reports, conference presentations, and journal manuscripts. Through these activities, the student will gain hands-on experience in computational fluid dynamics, fluid-structure interactions, scalar transport modeling, scientific computing, and multidisciplinary research at the interface of engineering and biology. The role is designed to provide comprehensive research training while enabling the student to make meaningful contributions to advancing knowledge in biomimetic engineering, biological sensing, and bio-inspired underwater systems.

Skills required:
The ideal student should have a background in mechanical engineering or a related discipline. Experience with fluid mechanics, numerical methods, and computer programming is desirable. Familiarity with computational fluid dynamics (CFD), as well as MATLAB or Python for data processing and visualization, would be beneficial. The student should possess strong analytical and problem-solving skills, an interest in biomimetics and biological systems, and the ability to work independently while contributing effectively within a collaborative research environment.

Research area: My research focuses on two main areas. Primarily, we develop high performance materials intended for space applications. Our research group is one of the few in Alberta that work in the aerospace research field by designing, manufacturing, modelling and testing materials in conditions that replicate space. Through these experimental characterization studies, we push the boundaries of space by developing novel materials for different space missions. The second research area my lab focuses on is biomedical rehabilitation. We work with surgeons from different clinical backgrounds to assess and experimentally compare different rehabilitation and surgical techniques.

Student roles:
The student will work alongside a graduate student in my lab to help experimentally characterize the moisture-induced behaviour of aramid-based composite materials intended for space satellites. The project can be thought of as being broken down into three different components:
1) Training and Reading (2-3 weeks): During this time, students will be taught everything required to be able to complete the project. Students will be given some papers to read and some background to learn. During this time, the processes involved in designing, manufacturing and testing the materials will be demonstrated to the student. The selected student will shadow a graduate student during this time - all of our graduate students have been trained in leadership and mentorship and will guide the student as much or as little as needed.
2) Manufacturing and Testing (3-4 weeks): During this phase, students will implement the training from the first phase to manufacture and test samples in a number of conditions that will be determined by the Principal Investigator (Dr. Ead) and the graduate student. All equipment will be available and the student will have already received training on this equipment. Samples will be manufactured and exposed to moisture-conditions akin to space. After exposure, samples will then be tested and imaged to quantify the influence of moisture on their behaviour.
3) Documentation and Dissemination (2-3 weeks): After conducting testing and look at results, select students will be involved in putting together a journal article for the work (with authorship guaranteed). This process will be overseen by the graduate student and the Principal Investigator.

Skills required:
Students background and education are preferred to be in mechanical engineering or materials engineering (not necessary, but preferred). Ideally, selected students will have had some experience with research in some capacity. Students can be in either their undergraduate or graduate degrees. Basic laboratory training will be required upon selection and arrival, however, no prior experience in the field is necessary.

Research area: This research lies at the intersection of structural dynamics, opto-mechanical engineering, and astronomical instrumentation. The work focuses on developing and experimentally validating integrated models that predict the optical performance of telescope instruments under vibration disturbances. Using the NRC Integrated Modelling (NRCIM) toolset, which couples finite element structural models with linear optical sensitivity models, we develop modal state-space representations of opto-mechanical systems and validate them against accelerometer and wavefront sensor measurements. A central goal is virtual sensing via modal expansion: using accelerometer data to infer optical surface motions at unmeasured locations, enabling feed-forward vibration control independent of wavefront sensor.

Student roles:
The student will contribute to the experimental validation and real-time implementation of the NRCIM digital twin, generally working across four interconnected areas under the supervision of Prof. Scott Roberts (UVic) and NRC collaborators. The work plan will be tailored depending on the student’s interest and skill set. These are the general areas of work:

Modal and wavefront sensor testing. The student will participate in vibration testing of the NRCIM Bench, acquiring simultaneous accelerometer and wavefront sensor data. This experimental work directly tests the virtual sensing methodology and the fidelity of the FEM-derived modal state-space model.

Real-time Kalman filter implementation. Building on the validated modal state-space model, the student will implement a real-time Kalman filter in MATLAB that continuously estimates the full structural state from streaming accelerometer data. This estimated state will be propagated through the linear optics model to predict wavefront error in real time, forming the core of the digital twin's estimation capability.

Bayesian Model Updating and Operational Modal Analysis. Working alongside Dr. Keivan Ahmadi's group at UVic, the student will contribute to the implementation of BMU and OMA algorithms that update model parameters from ambient vibration data during operation. This component ensures the digital twin remains calibrated without requiring dedicated test excitation.

Tip-tilt mirror closed-loop control. The student will support integration of the real-time state estimator with the tip-tilt mirror drive system, implementing feed-forward control commands derived from the Kalman filter output. Performance will be assessed by comparing residual wavefront error with and without feed-forward correction, providing an end-to-end demonstration of the digital twin's operational capability.

Skills required:
Applicants should have a strong foundation in mechanical or aerospace engineering, with coursework in structural dynamics or vibration analysis, control systems, and signal processing. Familiarity with finite element modelling and modal analysis concepts is essential. Programming in MATLAB is required; Python experience is an asset. Some background in state-space modelling or Kalman filtering is highly desirable. An interest in precision instrumentation and experimental work is important, as the role involves hands-on laboratory testing. Prior exposure to optical systems or adaptive optics is not required but would be an advantage. Candidates should be comfortable working in a collaborative, interdisciplinary research environment.

Research area: Computer Aided Design (CAD) Geometric modelling Mesh generation Finite Element Analysis (FEA) Optimization methods For more details, please visit our website at: http://www.uqtr.ca/ericca

Student roles:
In the context of our research project as described above, the objective of the student's contribution is programming a user interface for the specification of design and non-design geometries that are used as input in the TOM process. This interface should allow the interactive, fast and efficient specification of the required input data for the TOM process. This interface should then be validated on practical TO studies.

The student should start with getting familiar with our research computer code development platform. Indeed, our research work led to the design of a computer code development platform that already features many geometric data processing, mesh generation, finite element analysis and topology optimization capabilities. This platform is based on CODE ASTER as FEA solver and OPEN CASCADE libraries for geometric processing.

The student should then explore the capabilities of the SALOME interface along with OPEN CASCADE libraries towards the objective of setting up a user interface for the specification of design and non-design geometries.

Then, the student should write and test the computer code required for designing this interface.

Once the interface fully functional, the student should validate it through a set of TO case studies performed on industrial parts.

Skills required:
Background in engineering or computer science.
Interest and knowledge in computer programming, 3D geometric modeling and computer aided design.
Knowledge of Linux OS and would be considered as a plus.

Research area: The Living with Assistive and Interactive Robots (LAIR) Lab at Concordia University focuses on examining physical and social human-robot interaction (psHRI) in order to achieve safe, comfortable, and intuitive interactions with autonomous robotic assistants in the areas of home care, retail, manufacturing, or healthcare. This is accomplished by using multimodal analysis of the human (e.g., posture, gesture, touch, emotion, physiological signals, etc.), compliant control algorithms, machine intelligence, and device design.

Student roles:
The role of the student is to take part in designing and conducting the above research project, which will be led by a graduate student and extends beyond the Globalink student’s internship. The student may also have the opportunity to take ownership of a small portion of a project, either a specific portion of the pipeline or a specific interaction type. The role of the student is also to develop their skills and knowledge in ML and robot control:
- Learn the current state of the art in the use of ML in robot control by reading scientific literature
- Aid in designing experiments to gather the data during physical human-robot interactions
- Aid in analyzing the data and developing ML models and integration into robot control
- Write clear documentation
- Meet weekly with the supervisor to discuss progress and project direction

Skills required:
The ideal student will have a knowledge of robotics, machine learning, and be a strong programmer:
- Proficient in programming (C++ or Python)
- Experience with robot control and Robot Operating System (ROS)
- Experience working with ML

Research area: I am a Professor at Ontario Tech University and the founding Director of the Aerodynamics and Climatic Adaptation Research Center. My research is interdisciplinary, covering the fields of unsteady flow, aeroacoustics, fluid–structure interaction, flow-induced vibrations, and structural integrity.

Student roles:
The student will be working closely with members of my research group who are working on the topic. The student will assist in the experimental measurements and will perform numerical simulations as needed.

Skills required:
Strong background in aerodynamics and fluid mechanics is an asset.

Research area: My Research is mainly focused on advanced manufacturing processes including machining and metal additive manufacturing. My research covers areas such as simulation of machining operations and modelling material behavior particularly advanced difficult-to-cut materials such as titanium and superalloys that are widely used in aerospace industry. I am currently focused on post-process finish machining of additively manufactured metallic parts.

Student roles:
The initial task is to review the information relevant to the machinability of additively manufactured metals, previously gathered by my graduate students and summer students in 2023 and 2024. Upon completing this first phase (lasting 2-3 weeks), the student will engage in configuring a test setup, which includes conducting tensile tests to obtain basic mechanical properties, performing milling tests, and measuring tool wear for analysis. Additionally, the student will capture and analyze cutting forces using a dynamometer. Responsibilities also include writing reports and manuals. Required training will be provided to ensure safety.

Skills required:
The successful candidate must possess a strong background in engineering, design, mathematics, and programming. Additionally, the candidate should demonstrate honesty, self-motivation, punctuality, and a passion for discovery. Knowledge of manufacturing processes (both additive and subtractive), material behavior, data acquisition, and proficiency in MATLAB or Python programming are advantageous. The candidate must be capable of working both independently and collaboratively within a team. Strong written and oral English communication skills are essential assets.

Research area: Dr. Vijayaraghavan works on integrated physical and control system design optimization for complex system. With the establishment of the Agritech program within the department and the B.C. Centre for Agritech Innovation at Simon Fraser University, he has begun focusing on system innovative agricultural technology.

Student roles:
The student will use photos of simulated indoor space of green house to train a machine learning model to recognize distance (based on scale).
The student will examine opensource indoor positioning system.
The student will aim to program a small computer (such as Arduino) to perform sensor fusion and perform movement commands

Skills required:
Background in robotics, audrino, and image processing would be beneficial.
Background in Simultaneous localization and mapping (SLAM) would be a bonus.

Research area: My research area and expertise focuses on unsteady turbulent flow dynamics and modeling. This includes external and internal flows with applications in energy harvesting, energy storage, energy transportation, low emissions aerial, ground and underwater vehicles. Particularly, my team has developed a global reputation for research in the areas of unsteady turbulent wake dynamics and turbulent pipeflow dynamics. Moreover, our efforts have led to and continue to result in the development of new technologies and products, including next generation drones and nano-satellites, to expand our reach to the very low earth orbit.

Student roles:
The student will complete literature review, develop design criteria and finalize a first prototype design of the umMDPT (underwater micro-MagnetroPlasmaDynamicThruster) technology, based on existing knowledge within the group. They will also complete iterative design CFD/FEA simulations to test and develop the initial MVP design.

Skills required:
The student needs to have a good understanding of fluid mechanics, multi-physics modeling and design with familiarity in SolidWorks and ANSYS. The right candidate will need to complete literature review, develop a design of experiments, develop relevant CAD models and complete iterative tests.

Research area: Adaptive structures have the potential to considerably reduce emissions and fuel consumption by improving the aerodynamic performance of aircraft. Traditional materials used in aircraft for shape adaptation are never simultaneously lightweight, load-bearing, and shape adaptable. The project proposes to design and develop multifunctional composites via additive manufacturing by embedding smart materials for actuation into structural reinforced polymer composites to overcome the challenge of traditional materials. Additionally, multifunctional material models developed in this work will enhance the fundamental understanding of shape transformation behavior and its effect on the structural integrity of aircraft components to better design aircraft structures of the future.

Student roles:
The tasks are for the project, which will be distributed between the students according to their background.
1. Thermal, chemical, mechanical and electrical characterization of smart functional composites.
2. Electromechanical characterization of smart composites.
3. Instrumentation and electrical circuity for the programming of smart composites.
4. Closed-loop electronics + programming for reconfigurable composites.
5. Automated fiber placement of composite materials
6. Design and fabrication of smart composites

Skills required:
One or more of the following skills. I seek multiple students to form a team.

1. Wet-lab experience.
2. Experience with design and analysis softwares: CAD softwares and FE softwares
3. 3D printing
4. Electrical and electronic circuits and instrumentation.
5. Characterization experience.

Research area: Designing robotic systems and creating control software, sensors and actuators with a focus on collaborative and autonomous robots. Mentoring students is a very important part of my job.

Student roles:
The student is expected to study existing soft robotic grippers; and then design, manufacture and test a prototype gripper. They will be working as a member of the robotics research team at McMaster University.

Skills required:
Knowledge of computer-aided design (CAD) and solid modeling.
Knowledge of finite element analysis (FEA).
Some knowledge of pneumatics.

Research area: We study the mechanics of soft materials and biological tissues, with a focus on deformation, fracture, and cutting. Our work combines theoretical modeling, numerical simulation (finite elements), and experiments to understand how materials fail under complex loading. Applications include surgical procedures, biomechanics, and the development of more realistic simulation tools for medical training.

Student roles:
The student will participate in ongoing research activities, including literature review, development of simple models or simulations, and analysis of results. They will work closely with the supervisor and research group, contribute to regular meetings, and present their findings at the end of the internship. The role is designed to provide hands-on experience with research in mechanics and biomedical applications.

Skills required:
Background in mechanical or general engineering. Basic knowledge of mechanics of materials and/or continuum mechanics is helpful. Some programming experience (e.g., Python or MATLAB) is recommended. Familiarity with numerical methods or finite element analysis is a plus but not required. Strong analytical thinking and interest in biomechanics or materials are important.

Research area: Blood flowing through tiny blood vessels in our body is not like water flowing through a pipe. It's actually more like a group of tiny flexible particles bouncing and interacting with each other. Our laboratory is interested in understanding how blood behaves on this tiny scale, using really cool technology called microfluidics. We want to know how blood cells move and interact with each other, and how they respond to different forces and conditions. This kind of research can help us understand how diseases affect blood flow and circulation, and lead to new treatments and therapies.

Student roles:
You'll be conducting microfluidics experiments, which means working with tiny amounts of fluids in a controlled environment. You'll also get to process data from these experiments, using different techniques like image processing to help us understand what's happening at the microscopic level. You'll be working alongside some of our brilliant grad students, and we'll all be sharing our findings in regular group meetings.

We are currently a small international team that is bilingual. Although we speak both languages, we mostly work in English because not everyone is proficient in both. However, we all make an effort to communicate and help each other out because we enjoy working together.

Skills required:
We're seeking someone who knows about fluid mechanics and has basic programming knowledge ( e.g MATLAB). While biology understanding would be helpful, it's not a must-have. We provide on-the-job training, so no need to worry about lacking experience. If you have experience with advanced image processing, it would be beneficial, but we offer training if you don't. You'll have the chance to learn cutting-edge technologies such as microPIV, microfabrication, microfluidics, MEMS, and image processing. You should be meticulous, precise, and patient while working with small-scale experiments. We also value curiosity, teamwork, and enthusiasm.

Research area: This research program considers turbulence (chaotic fluid motions) in stratified flows (fluids with a background density gradient), as are encountered in a variety of geophysical, environmental, and industrial settings. A particular focus is on developing robust mathematical models for characterizing the turbulence-enhanced mixing of heat in the ocean, a leading area of uncertainty in global climate modelling. Through integrated analyses of data obtained from numerical simulations, laboratory experiments, and ocean observations, our group seeks to understand the variety of local physical mechanisms driving mixing, their statistical distributions in space and time, and their dependence on large-scale flow parameters and history.

Student roles:
The student will first learn how to access and manipulate large stratified turbulence datasets which reside on a cluster. After getting comfortable with the data, they will focus on applying data-reduction and segmentation techniques (autoencoders, clustering algorithms etc) to identify dynamically-distinct regions of turbulence within the flow of a given simulation. If time permits, the student will then extend this analysis to consider variations in flow physics across other datasets. I will directly mentor the student for the entirety of the project, and we will have multiple meetings per week to facilitate their work.

Skills required:
A course in fluid mechanics, knowledge of programming in Python (including manipulating large arrays of data using scientific libraries such as Numpy), experience using computing clusters (Linux). Experience using machine learning libraries (SciKit-Learn, TensorFlow etc) would also be useful.

Research area: My research involves the application of the fundamental thermal fluid science principles to design and optimize sustainable thermal energy systems. The specific areas of my research interest include development, modeling, and optimization of sustainable thermal energy systems for different applications, including ground source heat pumps, solar assisted - air source heat pump, solar thermal technologies (including concentrating solar thermal and photovoltaic-thermal systems), thermal energy storage systems (including latent and sensible thermal energy storage systems), and alternative systems for heating and cooling. Our work is supported by computational fluid dynamics and finite element analysis simulations.

Student roles:
The student will work with graduate students in the Sustainable Thermal Energy Systems research group at the University of Calgary to develop concepts for the production of process heat for different industrial applications using medium-depth geothermal technology. This will include a review of the state-of-the-art systems for process heat and their performance, developing concepts for medium-depth geothermal systems for various process heat industrial applications, develop numerical models to evaluate the developed concepts, and undertake techno-economic evaluations of the developed concepts to establish their feasibility in Alberta. The student will work with one graduate student and is expected to attend weekly group meetings and present their research to the rest of the group from time to time.

Skills required:
Completion of the fundamental courses in Thermodynamics, Heat Transfer and Fluid Mechanics is essential. Students with experience in the use of computational fluid dynamics tools such as ANSYS Fluent or COMSOL Multiphysics have a better chance of succeeding in this project.

Research area: Computer Aided Design (CAD) Geometric modeling Mesh generation Finite Element Analysis (FEA) Optimization methods For more details, please visit our website at: http://www.uqtr.ca/ericca

Student roles:
In the context of the research project as described above, the proposed work is focused on using the platform to study different combination of shape, size and distributions of material components. In this platform, the integration of CAD with automatic mesh generation methods allows for the automatic generation of the geometric model discretization. The student should help us towards demonstrating the potential of this CAD-FEA integrated approach in assessing mechanical and thermal properties of actual heterogeneous materials.

The student should start with getting familiar with our research computer code development platform. Indeed, our research work led to the design of a computer code development platform that already features many geometric data processing, mesh generation, finite element analysis and topology optimization capabilities. This platform is based on CODE ASTER as FEA solver and OPEN CASCADE libraries for geometric processing. Then, the student should use this platform with the objectives mentioned above

Skills required:
Background in engineering or computer science.
Interest and knowledge in computer programming, 3D geometric modeling and computer aided design.
Knowledge of Linux OS and would be considered as a plus.

Research area: My research program is dedicated to addressing the decarbonization of high-temperature industrial heat through the development of advanced thermal energy conversion and storage systems such as small modular reactors, electric thermal energy storage systems and concentrated solar power. We focus on studying the fundamental heat transfer mechanisms involved in converting renewable energy such as solar, wind and nuclear into thermal energy. Employing a combination of experimental techniques and theoretical modeling, our group aims to optimize the design and performance of next-gen renewable thermal systems. Additionally, we explore low-cost materials suitable for high-temperature applications, reaching up to 1273 K.

Student roles:
The student will work in collaboration with Renewable Thermal Lab (RTL) team consisting of master's and PhD students to build a lab-scale prototype for a next-gen low-carbon energy based thermal energy storage system. The prototype consists of various components, including a renewable energy to heat conversion system, thermal energy storage tanks, heat extraction system and steam generation system. The student will work on the design of heat extraction system and steam generation system that can be utilized to deliver steam at target temperatures and pressures on demand. The student will utilize Solid Works, MATLAB and Python to build models of the system and generate design diagrams that can be utilized by the RTL team to fabricate the system in the lab. The student will also work on selecting the appropriate instrumentation needed to validate their design on a lab-scale.

Skills required:
The student is expected to be knowledgeable about fundamental heat transfer, thermodynamics, and fluid mechanics. The student may need to utilize Computer Aided Design (CAD) software such as SolidWorks and programming software such as MATLAB to successfully complete their tasks. Laboratory experience is a plus but not mandatory. The student is expected to be a team player and must possess a high level of verbal and written communications skills.

Research area: With over 30 years of experience in intelligent system modeling, my research has consistently focused on the integration of advanced computational intelligence with mechanical system design and analysis. I have extensive expertise in the modeling, simulation, and dynamic analysis of complex mechanical systems, including space structures, heavy machinery, and vibration-sensitive equipment. My work has contributed to the development of intelligent control strategies for vibration mitigation in both human-machine systems and large-scale structures. Current research interests center on the convergence of digital twin technology and artificial intelligence, aimed at enabling predictive, adaptive, and self-optimizing mechanical systems for next-generation applications.

Student roles:
The student will contribute to the development and testing of AI-enhanced digital twins for mechanical systems. Their role will include assisting with the modeling and simulation of mechanical components, implementing basic machine learning techniques, and analyzing system behavior using simulation tools. The student will also help integrate data from physical or simulated systems into digital twin models and support experiments related to intelligent control or performance optimization. Under guidance, they will document findings and may contribute to prototype development or research publications depending on progress.

Skills required:
This project welcomes students from mechanical engineering, software engineering, and computer science backgrounds who have a strong interest in intelligent systems and emerging technologies. The ideal candidate should have:

A solid foundation in system modeling, dynamics, or control (mechanical or computational).
Basic programming skills (e.g., Python, MATLAB, or C++) and familiarity with simulation tools.
An interest in artificial intelligence, machine learning, or data-driven modeling.
A willingness to engage in interdisciplinary research that bridges physical systems and computational intelligence.
Good analytical thinking, problem-solving skills, and the ability to work independently and as part of a research team.
Prior experience with digital.

Research area: Abdullah's research focuses on the development of robotic systems, with a particular emphasis on three core areas: therapeutic robots for the rehabilitation of individuals with impaired upper limbs, assistive robotic devices designed to enhance daily living, and exoskeleton robotic systems aimed at augmenting human mobility and strength. In addition to these focal areas, he has made significant contributions to the advancement of mechatronic system design. His expertise and leadership have been instrumental in securing and managing numerous research projects supported by both industry and funding organizations. His work has resulted in over 90 publications in international journals and conferences.

Student roles:
• Literature Review: Examine mobility challenges experienced by older adults and individuals with disabilities. Analyze existing walkers, wheelchairs, and assistive technologies.
• Concept Development: Assess alternative mechanisms for providing sit-to-stand assistance.
• Detailed Design and Modelling: Collaborate with research team members to design the frame, structure, and component layout, and to select appropriate materials and components.
• Electronics and Control System Development: Collaborate with research team members to design motor control circuitry and program a microcontroller for sensor processing and motor operation.
• Design Refinement: Resolve issues identified during testing and optimize system performance and reliability.
• Documentation and Reporting: Record all design stages, findings, and results for publication and peer review.

Skills required:
We are seeking a senior undergraduate or master’s student in Mechanical, Electrical, Computer, or Biomedical Engineering to support the design and development of an affordable, user-centred mobility assistance device. The ideal candidate has experience in CAD modelling and is proficient in creating 3D models and assemblies using SolidWorks or Fusion 360. Candidates must have microcontroller programming skills, including firmware development for motor control, sensor integration, and safety features. Experience with embedded systems, electronics, sensors, and actuators is highly desirable. Knowledge of ergonomics and biomechanics, especially as they relate to assistive device design and human mobility, is an asset. The student

Research area: My research area and expertise focuses on unsteady turbulent flow dynamics and modeling. This includes external and internal flows with applications in energy harvesting, energy storage, energy transportation, low emissions aerial, ground and underwater vehicles. Particularly, my team has developed a global reputation for research in the areas of unsteady turbulent wake dynamics and turbulent pipeflow dynamics. Moreover, our efforts have led to and continue to result in the development of new technologies and products that are revolutionary in design to lower GHG emissions and enhance our technological capabilities.

Student roles:
The student will complete post-processing of pipeflow simulations related to the wall-modified cases, while computed preliminary simulations related to new design alternatives for lowering GHG emissions through drag reduction and heat-loss reductions. They will work closely with another PhD and MSc student that are already working on the project and provide them support and new insights.

Skills required:
The student needs to have a good understanding of fluid mechanics, structural mechanics and fluid-structure-interactions with familiarity in SolidWorks, Matlab and ANSYS. The right candidate will need to complete literature review, post-process results and complete simulations on pipeflow. Knowledge and familiarity with OpenFOAM and Tecplot are considered a plus.

Research area: My specialized research area is theoretical and numerical fluid mechanics, with a focus on turbulent reacting flows, combustion, detonation, and hydrogen safety. My work combines high-fidelity computational fluid dynamics, reduced-order modelling, detailed chemical kinetics, and experimental validation to study complex reacting-flow phenomena relevant to propulsion, energy, and industrial safety. A major part of my research focuses on hydrogen combustion and detonation mitigation, including flame acceleration, deflagration-to-detonation transition, flame/detonation arrestors, and safe hydrogen infrastructure. I also work on cryogenic and low-carbon fuel injection, burner design, turbulent combustion modelling, and data-assisted numerical methods for reducing the cost of high-fidelity simulations.

Student roles:
The student will be responsible for conducting numerical studies of cryogenic fuel injection under propulsion-relevant conditions. Their role will include reviewing the literature on cryogenic injection, real-gas effects, transcritical mixing, and reacting-flow modelling; setting up canonical computational cases; and performing high-fidelity simulations using CFD and combustion modelling tools.

The student will develop and assess numerical models for cryogenic fuel injection, including real-gas thermodynamics, transport properties, turbulence modelling, and finite-rate chemistry where appropriate. They will analyze key flow and combustion quantities such as jet penetration, mixing rate, scalar dissipation, ignition delay, flame stabilization, temperature distribution, and species evolution. The student will also compare different modelling assumptions, such as ideal-gas versus real-gas treatments and non-reacting versus reacting simulations.

As the project progresses, the student will help generate a structured simulation database and use it to identify physical trends, develop scaling relationships, and support reduced-order or design-oriented models for propulsion injector analysis. They will be expected to document their methodology carefully, maintain organized simulation data and code, prepare figures and technical summaries, and contribute to journal papers, conference presentations, and project reports.

Skills required:
The student should have a strong background in mechanical engineering, aerospace engineering, chemical engineering, applied mathematics, physics, or a closely related discipline. Prior training in fluid mechanics, thermodynamics, heat transfer, numerical methods, and combustion would be highly desirable.

The project requires a student with strong analytical and computational skills, including familiarity with computational fluid dynamics, programming, and high-performance computing. Experience with tools such as OpenFOAM, Cantera, Python, MATLAB, C/C++, or other CFD/reacting-flow codes would be an asset. Knowledge of compressible flows, turbulence modelling, chemical kinetics, real-gas thermodynamics, or multiphase/cryogenic flows would be particularly valuable, although specific training can be provided

Research area: I am interesting in fluid mechanics and heat transfer in various industrial applications (rotating machineries, nanofluids, energy efficiency) but also in the field of the fluid biomechanics and coastal engineering. My works are often based on a combined experimental, theoretical and numerical approach.

Student roles:
Do the literature review on water and ZFR jet pumps;
Validation and parametric analysis of an existing simple numerical model;
Numerical simulations of a ZFR jet pump using ANSYS Fluent;
Write a technical report.

Skills required:
The recruited student should have some basic knowledge in fluid mechanics, heat transfer (and numerical methods).

Research area: The Continuum Robotics Laboratory develops next-generation continuum and deformable robots inspired by biological structures such as octopus arms and elephant trunks. Our research combines robotics, mechanics, computation, sensing, and artificial intelligence to design, model, and control highly flexible robotic systems capable of adapting to complex and uncertain environments. Current projects focus on robot design, physics-based modeling, dynamic simulation, shape sensing, state estimation, machine learning, and autonomous control. Applications include industrial inspection, manipulation in confined spaces, and operation in challenging environments where conventional rigid robots are limited.

Student roles:
Students will support the open continuum robot software development or hardware teams. They will be assigned programming or engineering tasks to expand the features of the software or hardware.

Skills required:
- fundamental knowledge in robotics required
- proficiency in programming using Python or C/C++ with experience in robotics simulators such as MuJoCo or robotics software stacks (ROS2)
or
- proficiency in CAD; prototyping skills (3D printing, electronics, mechatronics, assembly etc.)

Research area: The applicant's research is in aerodynamics, thermal management and energy. The research is conducted by employing both computational fluid dynamics (CFD) and experimental measurements. Our research facilities include full-scale and small-scale thermal chambers, as well as clusters of computational resources. The students will build strong networks and experience by working alongside experienced graduate students and engineers at ACE (Automotive Centre of Excellence).

Student roles:
The students' research activities include: 1) Conduct a comprehensive literature review on the applications of deep learning to thermal management of electric batteries and write a report. 2) Develop deep learning and neural network techniques for application to thermal management of batteries. 3) Perform comprehensive analyses of the results. 4) Write technical reports on the results.

Skills required:
The students must have a good background in thermal science, and thermodynamics. Working knowledge of machine learning or AI will be a huge advantage. In addition, a passion for research and a willingness to learn new things are cornerstones of most research endeavours.

Research area: Thermal storage Building energy simulation Heating, ventilation, and air conditioning (HVAC) systems Building decarbonization

Student roles:
1. Collect operational data from thermal storage devices implemented in buildings.
2. Clean the data (remove duplicates, handle missing values, correct structural errors, filter out outliers and anomalies, normalize data types and formats, and validate the data against operational logic).
3. Configure resistance-capacitance models of different dimensions to represent the behavior of the storage device.
4. Validate the performance of the developed model.

Skills required:
• Excellent motivation
• Ability to work independently and as part of a team
• Knowledge of heat transfer mechanisms and HVAC systems
• An interest in building energy simulation

Research area: For over twenty years we have been working in Process, Products and systems engineering laboratory (LIPPS) to improve the machining/machinability of materials for our industries. Our activities include i) development of high speed, durable and clean machining; ii) Optimization and improvement of machining performance, iii) study of machinability of metals and composites and iv) promoting the adoption of environmental conscious machining. These research tasks are carried out in a multidisciplinary research teams (metallurgist, machinists, manufacturing researchers) using up-to-date industrial scale machines-tools and research instruments.

Student roles:
Depending on the skills and background of the selected student, he or she will be asked to develop a tool for predicting process performance, a tool for processing machining data, or to map the needs, instruments and tools to facilitate the implementation of Industry 4.0 /5.0 in machining companies, or to plan and carry out machining tests in the laboratory. In either case, the student will :

- carry out bibliographical research and critical analysis;
- prepare and present the results of their work using MS-office during group meetings;
- interview local industrialists or laboratory technicians and researchers working on machining;
- write a report and/or initiate the writing of a scientific article.

Skills required:
The competencies sought should include three to four of the following:
- Ability to conduct literature reviews
- Interview with manufacturers ;
- Survey technique
- Data classification and analysis;
- Programming
- Planning and conducting tests in laboratory;
- Statistical analysis of the data;
- Writing reports and/or articles;
- Teamwork.

Research area: My research focuses on immersive technologies and their applications in scenarios other than entertainment. Leveraging my background in mechatronics, my current research program focuses on investigating custom-made user input device design methods for best support skill development. Comprehensively, my research articulates both software and hardware centered on human factor principles.

Student roles:
The student main role is that of a designer of immersive tech custom-made user input devices leveraging traditional and novel workflows for fundamental virtual tasks such as locomotion, reaching, grabbing, and interacting with both virtual objects and graphical user interfaces. In addition to the role of designer, the student will document, write reports, present advances, work in a multidisciplinary team, engage in creative sessions, conduct literature reviews, physically prototype the designs using 3D printing and open electronics programming their functionality to work with well-known game engines such as Unity and Unreal. Finally, the student will assist and support testing of the prototypes.

Skills required:
Those interested in this project should posses the following skills: Object oriented programming experience with C++, Python, C#, CAD modeling, 3D printing, and open electronics.
Prior experience using Unity and Unreal is desired, but not mandatory. Prior experience with virtual reality development is preferred, but not mandatory. Familiarity with AI tools for CAD is preferred but not required.
Team work, report writing, organizational skills are essential.

Research area: Dr. Pivot's research area is in remote sensing technology and its applications in physical geography. Specifically, she specializes in monitoring and analyzing changes in Earth's surface processes, in particular snow cover dynamics and surface soil moisture and freeze-thaw state. She develops advanced observing systems, including drones, to acquire precise geospatial data more efficiently. Dr. Pivot also pioneers technology-driven solutions for online education, integrating fieldwork into courses through mobile technology-guided trips and virtual geographic environments.

Student roles:
Your role will include:

1. Reviewing the scientific and technical literature related to snow measurement instrumentation, including snow water equivalent (SWE) samplers and snow depth measurement systems.

2. Contributing to the design and improvement of an existing SWE sampler prototype intended to reduce sampling errors associated with depth hoar.

3. Contributing to the development of a snow depth measurement system integrating automated depth measurements, RTK-GNSS positioning, and digital data recording.

4. Identifying suitable fabrication methods and components, assembling and testing prototype systems, and evaluating their performance through laboratory experiments.

5. Documenting design decisions, testing procedures, and results, and contributing to reports, technical documentation, and scientific publications arising from the project.

Skills required:
A background in engineering is required, particularly in mechanical engineering, mechatronics, instrumentation, sensor engineering, or drafting and design engineering. Experience with computer-aided design (CAD) software is required. Because the project involves the development of new field instruments, experience designing, fabricating, and testing prototypes is highly desirable. Experience with electronics, sensors, GNSS technologies, 3D printing, or software development is also an asset.

More importantly, you should be resourceful, hands-on, and capable of independently solving practical engineering problems. You should be comfortable working with people from different disciplinary backgrounds.

Research area: I am expert in fluid mechanics for energy systems, bioengieering and coastal applications, aerodynamics, etc. My research concerns mainly the development of advanced numerical modelings, from optimization algorithm coupled to 1D models to 3D direct numerical simulations for any problems involving heat and mass transfer and fluid flow. Part of my research focuses also on characterizing the thermophysical properties of complex fluids (phase change materials, slurries, nanofluids, drilling fluids, bioinspired fluids) for a wide range of applications.

Student roles:
Do the literature review on ice slurries, their applications and properties;
Perform extensive rheological experiments using different test methods;
Build an experimental database from the first two tasks and test, train and validate an artificial neural network to predict the dynamic viscosity of the fluids;
Write a technical report.

Skills required:
Good knowledge in basic fluid dynamics and heat transfer and wish to perform extensive laboratory experiments.

Research area: The Living with Assistive and Interactive Robots (LAIR) Lab at Concordia University focuses on examining physical and social human-robot interaction (psHRI) in order to achieve safe, comfortable, and intuitive interactions with autonomous robotic assistants in the areas of home care, retail, manufacturing, or healthcare. This is accomplished by using multimodal analysis of the human (e.g., posture, gesture, touch, emotion, physiological signals, etc.), compliant control algorithms, machine intelligence, and device design.

Student roles:
The student’s role is to lay the preliminary technical groundwork for performing user studies in the future. The student will learn to use existing computer vision algorithms (e.g., Mediapipe) to extract and analyze the human skeleton key points. The student will then use this information and develop trajectory planning and a variable impedance controller for the Kinova Gen3 robot arm based on different contact strategies that they come up with. Finally, the student will be involved in experimental design and perform preliminary experiments as a proof of concept for a future user study. The faculty advisor will guide the student in understanding these advanced concepts along with help from the other members of the lab.

The role of the student is to develop their skills and knowledge in computer vision and robot control:
- Learn about the current state of the art in compliant robot control and physical human-robot interaction
- Choose and implement appropriate control and trajectory planning strategies
- Develop the different interaction conditions
- Conduct pilot studies to experimentally validate the different interaction conditions
- Meet weekly with the supervisor to discuss progress and project direction

Skills required:
The ideal student will have a knowledge of dynamics, robot control, computer vision, and be a strong programmer:
- Proficient in programming (C++ or Python)
- Experience with Robot Operating System (ROS)

Research area: My research focuses on the design, modeling and optimization of sustainable thermal energy systems. We apply the fundamentals of heat transfer, thermodynamics, and fluid mechanics to develop and evaluate novel thermal energy systems. Recent research is developing and optimizing heat pump technology for cold climate applications, concentrating solar thermal systems, and alternative heating and cooling system.

Student roles:
The student will review related studies on data center cooling, solar thermally driven cooling systems, and a combination of solar thermal cooling and data center waste heat recovery systems. Then, the student will develop concepts of coupled solar thermally driven cooling systems and data centers, showing the interdependence of the two systems. From these, mathematical models will be developed, and the performance under realistic operating conditions will be studied. The performance characterization required the development of mathematical and thermodynamic models of these systems and implementing their solutions in appropriate software.

Skills required:
An understanding of the fundamental thermofluids courses - heat transfer, thermodynamics, and fluid mechanics is essential for this project. Basic programming skills in MATLAB, Python or Engineering Equations Solver, TRNSYS, among others. Understanding of solar thermal technologies will be beneficial.

Research area: Focusing on the interface between energy and mining engineering, I aim to tackle today’s climate and energy challenges by decarbonizing energy systems in mines. Research in my lab develops and implements clean energy technology, accelerating towards a sustainable future for the mining industry. It advances the areas of mine electrification, mine ventilation, heating and cooling, renewable energy, and energy storage.

Student roles:
Milestone 1: Understand fundamentals of freezing process and complete literature review.
Milestone 2: Assist the formulation of a physics-based modeling framework to predict SP for mine heating and cooling.
Milestone 3: Solve the problem via analytical, numerical, or hybrid methods and compare with existing or experimental data.
Milestone 4: Conduct parametric studies for various scenarios due to climate change (optional).
Milestone 5: Produce a final report and present findings.

Skills required:
- Heat Transfer (or related courses)
- Fluid Mechanics (or related courses)
- Engineering Mathematics on Ordinary and Partial Differential Equations (or related courses)
- Programming skills in Python or MATLAB (or willing to learn)

Research area: The applicant's research is in aerodynamics, thermodynamics, and energy. The research is conducted by employing both computational fluid dynamics (CFD) and experimental measurements. Our research facilities include full-scale and small-scale wind tunnels and thermal chambers, as well as clusters of computational resources. The students will build strong networks and experience by working alongside experienced graduate students and engineers at ACE (Automotive Centre of Excellence).

Student roles:
The students' research activities include:
1) Conduct a comprehensive literature review on the applications of sensors on autonomous vehicles and write a report.
2) Apply multiphase computational fluid dynamics (CFD) simulations to generic three-dimensional (3D) road vehicle models
3) Perform comprehensive analyses of the results
4) Write technical reports on the results.

Skills required:
The students must have a good background in fluid mechanics, as well as computational fluid dynamics. Working knowledge of sensors such as lidar and cameras will be a huge advantage. In addition, a passion for research and a willingness to learn new things are cornerstones of most research endeavours.

Research area: The Living with Assistive and Interactive Robots (LAIR) Lab at Concordia University focuses on examining physical and social human-robot interaction (psHRI) in order to achieve safe, comfortable, and intuitive interactions with autonomous robotic assistants in the areas of home care, retail, manufacturing, or healthcare. This is accomplished by using multimodal analysis of the human (e.g., posture, gesture, touch, emotion, physiological signals, etc.), compliant control algorithms, machine intelligence, and device design.

Student roles:
The role of the student is to first build the interface to control a robot arm in simulation using a haptic controller. From there, the student will devise different control strategies for teleoperating the robot using a haptic controller under minimal, moderate, and severe time delays within the context of teleoperated physical delays. If time permits, validation experiments will be conducted on a physical robot.

The tasks include:
- Learn the current state of the art in robot teleoperation and handling delays by reading scientific literature
- Develop the ability to teleoperate a robot arm in simulation using the haptic controller and ROS
- Design different control schemes depending on the time delay severity
- Implement and test the different control schemes
- Write clear documentation on the entire project
- Meet weekly with the supervisor to discuss progress and project direction

Skills required:
The ideal student will have a knowledge of robotics and be a strong programmer:
- Proficient in programming (C++ or Python)
- Experience with Robot Operating System (ROS)
- Knowledge in robot control

Research area: At IDEA Lab (see our website at: goidealab.com) at the University of Alberta, we are focused on developing autonomous intelligent systems to deliver personalized health, specially using wearable, artificial intelligence, and robotic systems. Using these technologies, we measure movement and physiological data. With cost-effective robotic systems, we can perform assessment of human function and deliver therapy. Commonly, we combine these with artificial intelligence (e.g., deep learning) and biomedical signal processing.

Student roles:
The student's role in this project includes:
Literature Review: Conducting a comprehensive review of exsiting 3DOF robotic systems.
Design and Development: Designing the 3DOF robotic system using CAD software, ensuring it meets the needs of stroke survivors, including customizable programs and safety mechanisms.
Analysis and Simulation: Conducting forward/backward kinematics and kinetics to determine the workspace of the robot and selecting proper actuators. Simulating the performance of the robot.
Reporting: Documenting the project's progress, methodologies, and findings. Preparing technical reports and contributing to potential academic publications, providing valuable insights into the development of affordable robot-assisted therapy systems.

Skills required:
The ideal student for this project should possess:
A background in mechanical engineering, robotics, or biomedical engineering, with coursework in robot design and control.
Proficiency in CAD software such as SolidWorks for designing the robotic system.
Understanding of robot kinematic and kinetic analysis.
Understanding of stroke rehabilitation principles and therapy methodologies is an ASSET.

Research area: My research focuses on the design, modeling and optimization of sustainable thermal energy systems. We apply the fundamentals of heat transfer, thermodynamics, and fluid mechanics to develop and evaluate novel thermal energy systems. Recent research is developing and optimizing heat pump technology for cold climate applications, concentrating solar thermal systems, and alternative heating and cooling system.

Student roles:
The students will develop concepts combining different solar thermal concentrating technologies with high-temperature photovoltaic modules for simultaneous generation of heat and electricity. Then, means of upgrading or storing the thermal energy generated by the PVT system (depending on the obtained temperature) for later use will be proposed and evaluated. For systems with PVT temperatures lower than 100°C, a combined compressed thermal energy storage system will be designed and analyzed. The student will investigate the impact of system location on the overall performance of the system. Another aspect of this project will involve the development and modelling of novel receivers for the CPV/T systems.

Skills required:
Understanding of the fundamental thermofluids courses - heat transfer, thermodynamics, and fluid mechanics is essential for this project. Basic programming skills in MATLAB, Python or Engineering Equations Solver.

Research area: Our research group develops topology optimization (TO) tools based on the finite element method (FEM) to address design challenges across engineering applications where geometry and microstructure critically govern performance. Rather than optimizing the device or component within a fixed design template, we treat the structure itself as a variable, allowing optimal material distributions and geometries to emerge directly from the underlying physics. The methodology is applied across multiple domains, including energy storage and conversion devices (fuel cells, flywheel energy storage) and load-bearing biomedical devices (e.g., orthopaedic implants), where fluid flow, transport, and solid mechanics are tightly coupled to device performance.

Student roles:
Interns will work closely with graduate student mentors on the following two research projects corresponding to the energy and biomedical themes described above.

Project 1: In the PEM fuel cell project, the intern will learn and use an existing in-house topology optimization and finite element simulation framework developed by the research group. Their responsibilities include running parametric studies to optimise bipolar plate flow channels under varying operating conditions, organizing and analyzing simulation outputs, and developing Python scripts for post-processing. Key performance metrics such as pressure drop, reactant distribution, and flow uniformity will be evaluated across different designs. The student will also assist in translating optimized geometries into CAD and STL formats for manufacturability assessment, fabrication and testing.

Project 2: In the biomedical implant project, the student will support early-stage development of computational workflows that convert CT scan data into 3D anatomical models and finite element meshes. Tasks include assisting with image segmentation workflows, geometry reconstruction, and preparation of meshes for topology optimization and lattice-based implant design. The student will also contribute to exploratory data-driven analysis using machine learning methods such as convolutional neural networks (CNNs) to extract structural descriptors from CT images. These descriptors will be used to inform patient-specific design parameters including implant geometry and porosity distribution.

Skills required:
Applicants should be undergraduate students in mechanical engineering or a closely related discipline, ideally in their third year, with a strong foundation in engineering mechanics and numerical methods. Strong analytical thinking, problem-solving ability, and willingness to learn new computational and simulation tools are essential. Basic familiarity with software development or coding workflows is expected (e.g., in C, C++, Python, MATLAB). Some exposure to and interest in (some of) finite element analysis, CFD, transport phenomena, image processing, optimization, machine learning would be beneficial.

Research area: My research focuses on low-emission, fuel-flexible combustion systems for next-generation gas turbines using low-carbon fuels such as hydrogen (H₂), ammonia (NH₃), and methane (CH₄). I develop and apply advanced laser-based diagnostics, including Raman, Rayleigh, and laser-induced fluorescence (LIF), to measure temperature, species concentrations, and pollutant formation in high-temperature reacting flows. The goal is to understand turbulence–chemistry interactions and pollutant formation mechanisms, particularly NOx, in practical combustion systems. This work supports the development of clean, efficient combustion technologies aligned with global decarbonization and net-zero energy goals.

Student roles:
The project will involve up to three undergraduate students, each contributing to complementary aspects of the research on low-carbon fuel combustion. While all students will work collaboratively, individual roles will be defined to ensure clear responsibilities and meaningful contributions.
Student 1 will focus on data processing and analysis of laser diagnostics measurements (Raman/Rayleigh and LIF). Responsibilities include processing raw data, performing statistical analysis, generating visualizations (e.g., temperature and species distributions), and comparing results across different fuel compositions and operating conditions using Python or MATLAB.
Student 2 will focus on chemical kinetics and modeling. This student will use tools such as Cantera to simulate combustion processes and analyze NOx formation pathways. Tasks include running parametric studies, identifying low-emission operating conditions, and comparing simulation results with experimental datasets.
Student 3 will focus on experimental support and diagnostics implementation. Under supervision, this student will assist with laboratory setup, system calibration, and data acquisition. Tasks may include optical alignment, assisting with measurements, and ensuring proper documentation of experimental procedures.
All students will collaborate on interpreting results and integrating findings across experimental and modeling efforts. They will participate in weekly group meetings, present progress updates, and prepare a final presentation summarizing their work.
This team-based structure allows students to gain specialized skills while also being exposed to the full research workflow, including experiments, data analysis, and modeling. It also ensures that each student contributes meaningfully to advancing the understanding of low-emission combustion systems.

Skills required:
We seek motivated undergraduate students in mechanical, aerospace, or chemical engineering with an interest in combustion, fluid mechanics, or energy systems. The candidate should have a solid foundation in thermodynamics and fluid mechanics. Experience with Python or MATLAB for data analysis is highly desirable; familiarity with Cantera or scientific computing is a plus. Prior laboratory or experimental experience is beneficial but not required—training will be provided. Strong communication and teamwork skills are essential. This position is ideal for students considering graduate studies in combustion, energy, or aerospace engineering, and offers hands-on experience in laser diagnostics and energy research.

Research area: The Weck Lab's interests lie at the intersection of photonics, materials science, chemistry, and surface engineering. We use ultrafast lasers to texture materials to control properties such as colours, wettability, chemical reactions, and biocompatibility. We also use these lasers for high speed micro-machining, fundamental laser-matter interaction studies, and to induce artificial defects (crack and voids) to investigate fracture mechanisms

Student roles:
The student will use a variety of experimental techniques (lasers, electrochemical cells, microscopes, etc.) to create and test materials (metals and polymers) for applications in CO2 reduction and colour formation. The student will also contribute to expanding the existing literature on the topic by doing a literature review. The student will be directly supervised by a graduate student or postdoctoral fellow in the WeckLab on a day to day basis and will have weekly meetings with his main supervisor, Prof. Weck.
At the end of the project, it is expected that the student will write a report on the work done during the internship.

Skills required:
Experience with optical systems (lasers), microscopy (optical and electron microscopy) and spectroscopy techniques would be an asset.

Research area: Zeinab El-Sayegh is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University. She currently serves as the Co-Director of the Tire-Terrain Interaction Simulation (TTIS) and Truck Driving & Vehicle Dynamics Simulation (TDVDS) Laboratories. Her research focuses on transportation, vehicle design for both on-road and off-road applications, and autonomous vehicle simulation.

Student roles:
The student will play an active role in developing and implementing a simplified computational model to study tire–road interactions under different environmental conditions. Under the supervision of the research team, the student will begin by conducting a brief literature review to understand fundamental concepts in tire mechanics, including friction, slip, and force generation.

The student will then develop a basic tire model using MATLAB, where different road conditions (dry, wet, and snow-covered surfaces) are represented through varying friction parameters. The student will be responsible for coding, testing, and refining this model to ensure it produces physically meaningful results. Following model development, the student will integrate the tire model into a simple vehicle simulation framework to analyze basic maneuvers such as braking and turning. The student will generate and interpret simulation results, focusing on key performance indicators such as braking distance, traction limits, and vehicle stability.

Throughout the project, the student will participate in regular meetings with the supervisor, present progress updates, and incorporate feedback to improve the model and analysis. The student will also document their work, including assumptions, methodology, and results.

By the end of the internship, the student will prepare a final technical report and deliver a presentation summarizing their findings. The student is expected to demonstrate initiative, problem-solving skills, and the ability to apply fundamental engineering principles to a real-world problem related to vehicle dynamics and safety.

Skills required:
Basic vehicle dynamics understanding
MATLAB or other programming
Data analysis and visualization
Engineering problem-solving
Introduction to autonomous vehicle challenges

Research area: Many of today's environmental challenges come down to one basic question: how do water and air move? The answer lies in fluid dynamics. The way currents and winds carry particles and heat shapes problems such as how pollution spreads, how ice melts, and how air moves around the things we build. Yet these processes remain poorly understood. In the TEE Lab (Turbulence and Environmental Experiments) at the University of Ottawa, students tackle these questions through hands-on fluid dynamics experiments, using a combination of cameras and light sources to reveal the physics behind real-world problems and contribute to protecting our environment.

Student roles:
The students will join the TEE Lab to investigate what controls how fast icebergs melt through a series of complementary laboratory experiments. These experiments explore how factors such as iceberg shape and water motion influence melting. Students will work alongside other lab members, share the laboratory space, and collaborate to advance the project.

Tasks will include fabricating ice moulds, preparing ice models, and setting up experiments in a saltwater tank and the TEE Lab recirculating water tunnel at the University of Ottawa. Students will record their experiments using cameras and then apply image analysis tools available in MATLAB or Python to measure melt rates, track how the ice changes shape over time, and observe how cold meltwater flows away from the ice surface. This hands-on process shows how an experiment is built step by step, from idea to result.

By the end of the internship, students will have developed valuable and transferable skills in experimental design, data analysis, and scientific communication. Beyond the technical skills, they will gain first-hand experience of working in a collaborative research team and discover how fundamental physics can be applied to one of today's pressing environmental challenges.

Skills required:
We are looking for students with a basic understanding of fluid mechanics and some programming experience in MATLAB or Python. Experience with CAD design is helpful. We provide full hands-on training, so no prior experimental research experience is necessary. You will learn how to measure and visualize fluid flow, and how to detect, track, and analyze objects using image processing techniques. Beyond technical skills, we value curiosity, patience, strong organizational skills, and enthusiasm for environmental problems. A collaborative spirit is equally important, as interns will work closely with other lab members, sharing laboratory space, equipment, and facilities.

Research area: My research focuses on fluid mechanics, turbulence, and flow control for sustainable energy and thermal management applications. Key areas include aerodynamic drag reduction, ice mitigation on wind turbine blades, battery thermal management for electric vehicles, and multiphase flow dynamics. My work integrates experimental measurements, computational fluid dynamics, and advanced flow diagnostics to improve the efficiency, reliability, and resilience of engineering systems operating under complex environmental conditions. Current projects emphasize cold-climate renewable energy systems, turbulence-driven transport processes, and passive and active thermal control strategies for energy applications, with strong relevance to decarbonization and clean technology development.

Student roles:
The interns will execute all tasks outlined in the project description. They will be responsible for creating three-dimensional CAD models of NACA 64-618 tip sections. With supervision from myself , the interns will setup the solver using OpenFOAM or ANSYS Fluent to simulate two-phase flow around the 3D rotor models at subcooled temperatures. They will extract required data for analysis. This will also be closely supervised by myself to ensure the right data is extracted and analyzed.

Phase I: Develop 3D CAD models of NACA 64-618 airfoil tip section using either SolidWorks or ANSYS Fluent Space Claim.

Phase II: A large eddy simulation solver implemented in OpenFOAM or ANSYS Fluent will be used to conduct detailed simulation of two-phase flow (cold air at -10 ℃ and subcooled water droplets) over the 3D stationary and rotating rotor models.

Phase III: Detailed results will be extracted and analyzed to examine the effect of yaw angle on ice formation on airfoils under stationary and rotating conditions.

Skills required:
The interns should be senior level students with working knowledge of programming in MATLAB or Python. Knowledge of ANSYS software or OpenFOAM package is a plus.

Research area: I have been involved in academic and industrial research and development works over last 10 years. The overall theme of my research has been and continues to be clean energy conversion mechanisms modeling and related hardware development. In particular, the focus of my most recent research is to develop and further advance vibration based MPG (Micro Power Generator), therporaoustic (thermal-porous-acoustics) system, waste heat recovery system, and novel low-environmental impact cooling system. Other areas of interests include (a) thermoacoustic engine and refrigeration systems, (b) flexible power drive and clean energy conversion mechanisms, (c) thermal management of electronic and building.

Student roles:
 The student who will engage this project will
 Prepare a literature review to be familiar with thermoelectric cooling research works.
 Join a thermal design and analysis short course.
 Design the duct system, perform energy input and output analysis, determine the size of the heat sink.
 Modify an existing prototype for experimental measurement
 Validate the analytical model and experimental work.
 Write technical reports of the obtained results.

Skills required:
The student must have a basic knowledge of heat transfer, fluid mechanics, thermodynamics, and energy conversion process. Students from Mechanical and Mechatronics Engineering in or beyond the third and fourth year are applicable for this project. In addition, a good knowledge in COMSOL software, Tecplot, and Microsoft Excel is required.

Research area: Composite structures are increasingly used in many applications such as space structures, wind turbines, aircraft, etc. In all of these applications, they are subjected to cyclic environmental conditions which lead to the development of internal stresses at different scales caused by the anisotropy and heterogeneity of composite structures. The cyclic nature of these internal stresses can in turn lead to damage development. Temperature and humidity also influence the mechanical properties and the fracture behavior of composites. My research aims at a better understanding of these phenomena towards the integration of environmental effects into finite element models of composite structures.

Student roles:
To validate the Nomex honeycomb core numerical finite element models, a combined loading testing fixture has to be developed to evaluate the failure envelope under compression/shear loadings at different temperatures for different Nomex cores (density, cell sizes, etc.).

The student will be responsible for the design of the combined loading testing fixture for Nomex honeycomb cores. It includes:
- Specifications;
- Literature review;
- Design;
- Technical drawings;
- Supervision of fabrication and assembly;
- Preliminary testing and design validation.

Simple numerical simulations of the Nomex core might be necessary to help in the design process. Therefore, the student will work on a simple numerical model of the Nomex core under compression/shear loadings.

Finally, the student will develop a testing methodology for Nomex core using the fixture designed.

Skills required:
The student recruited for the project will work in a small research lab. Therefore, the student must be autonomous and resourceful and demonstrate intellectual curiosity. The student will be responsible for the design of a testing fixture. Experiences in mechanical design are required. Experiences with experimental testing, composite materials and finite element simulations will be considered an asset.

The internship will take place in a French university and although the internship can be done in English, someone with no interest in learning even just a little bit of French might have difficulty integrating into the host environment.