Engg-Materials

Research area: Our Team investigates the properties of nanomaterials to realize their full potential in next generation electronics. We are particularly interested in solution-processing techniques for their unparalleled potential in low cost, flexible, stretchable and large surface area applications. Our core objective is to establish a state-of-the-art laboratory for (1) solution processed based energy converters and for (2) power and light interactive electronic textiles, or simply smart textiles. Our multidisciplinary work unites skills and expertise from different disciplines including but not limited to electrical, chemical, mechanical and materials science engineering as well as physics and chemistry.

Student roles:
Our research is multidisciplinary and the student will be learning a variety of skills essential to solar cell design and fabrication. The student will perform the following duties:
• Fabricate 2D perovskite films in the lab.
• Investigate the impact of integrating different chemical treatment processes in the perovskite film fabrication procedure.
• Perform electrical testing on the developed films to examine their solar cell performance
• Perform XRD and SEM tests on promising perovskite films to further analyze their crystal structure. .
• Propose other ideas for improving the stability and performance of perovskite solar cells by analyzing data obtained in the lab and findings from literature papers.

Skills required:
The student needs to be interested in science and engineering; passionate about research. The preferred background of the student would be chemical engineering, materials science engineering or electrical engineering. Chemistry and Physics students are also welcomed or any related fields to those cited.

Research area: Our Team investigates the properties of nanomaterials to realize their full potential in next generation electronics. We are particularly interested in solution-processing techniques for their unparalleled potential in low cost, flexible, stretchable and large surface area applications. Our core objective is to establish a state-of-the-art laboratory for (1) solution processed based energy converters and for (2) power and light interactive electronic textiles, or simply smart textiles. Our multidisciplinary work unites skills and expertise from different disciplines including but not limited to electrical, chemical, mechanical and materials science engineering as well as physics and chemistry.

Student roles:
Our research is multidisciplinary and the student will be learning a variety of skills essential to solar cell design and fabrication. The student will perform the following duties:
• Fabricate 3D perovskite films in the lab.
• Investigate the impact of integrating different chemical treatment processes in the perovskite film fabrication procedure.
• Perform electrical testing on the developed films to examine their solar cell performance
• Perform XRD and SEM tests on promising perovskite films to further analyze their crystal structure. .
• Propose other ideas for improving the stability and performance of perovskite solar cells by analyzing data obtained in the lab and findings from literature papers.

Skills required:
The student needs to be interested in science and engineering; passionate about research. The preferred background of the student would be chemical engineering, materials science engineering or electrical engineering. Chemistry and Physics students are also welcomed or any related fields to those cited.

Research area: I work with polymer microfabrication technologies, including traditional manufacturing techniques like photolithography, but also soft-lithography, 3D printing and others. One application area is microfluidics, which shrinks channels and fluid control systems for chemical, biological or electrical applications. Traditional approaches to manufacturing microfluidic designs are slow and costly, but 3D printers are rapidly increasing their quality and capabilities and the use of these systems for producing microscale designs is an important part of our work. A major research thrust is developing a customized 3D printer that can work with multiple materials to print electrically and magnetically functional parts.

Student roles:
The student will be primarily running experiments to characterize the repeatability, quality and uniformity of parts produced with a customized FDM type printer and/or thermal draw tower. Properties of interest include adhesion between deposited layers, uniformity of co-extruded materials, internal porosity/leakage of deposited materials, leakage pressures of produced structures and electrical performance of multi-material fibers. Most work would occur in Dr. Sameoto's lab.

Skills required:
A strong background in materials, mechanical or electrical engineering is required, as is a proven history of interest and use of 3D printer technology with a focus on FDM type systems. Past history with design of experiments, ANOVA, or optimization strategies would be a strong plus. A careful and meticulous nature in dealing with experiments and experience in teamwork will be required as this project will required careful collaboration with a current PhD student for successful completion.

Research area: My research focuses on complex fluids and soft matter, combining computational modeling, rheology, fluid mechanics, and transport phenomena to investigate the behavior of biological and multifunctional materials. Current research areas include liquid crystals and active matter, nanocellulose-based biomaterials, biofluids, tribology, and non-Newtonian fluid dynamics. My work integrates theoretical analysis, numerical simulations, and experimental methods to understand flow instabilities, structure-property relationships, and transport processes in complex fluids, with applications in biomedical engineering, responsive materials, lubrication, and advanced manufacturing.

Student roles:
• Preparing HA–CNC hydrogel samples as wound dressings.
• Testing the printability or injectability of hydrogel formulations.
• Evaluating basic wound-dressing properties such as swelling and self-healing behavior.
• Assisting with microscopy and image analysis to study hydrogel structure.
• Supporting preliminary biocompatibility studies, depending on the student’s background. (Optional)
• Analyzing & reporting experimental data. Helping prepare research papers.

Skills required:
• A background in biomedical engineering / materials science/chemical engineering / mechanical engineering, or a related field.
• Interest in biomedical materials and wound healing.
• Experience with hydrogels, polymers, biomaterials, or wound dressing research would be an asset. (Optional)
• Basic laboratory skills.
• Familiarity with one or more of the following techniques would be helpful: microscopy, rheology, or 3D bio-printing.
• Willingness to learn new experimental methods. Clear communication skills.

Research area: My research focuses on applying artificial intelligence and data science to solve complex problems in healthcare and materials science. I develop machine learning and deep learning models, including graph neural networks and interpretable AI methods, to analyze high-dimensional and multi-modal data. A key focus is building models that are accurate, robust, and explainable. In biomaterials and bioprinting, I apply these methods to predict material properties and support data-driven design of new materials. My work integrates AI with domain knowledge to accelerate discovery and improve decision-making in scientific and biomedical applications.

Student roles:
The student will play a central role in carrying out this project by developing a machine learning pipeline to predict key bio-ink properties such as viscosity and printability.

The project will begin with data collection and curation. The student will gather data from publicly available sources and literature on hydrogel and polymer-based bio-inks. This includes extracting relevant information such as material composition, concentration, crosslinking methods, and experimentally measured properties. The student will organize and clean the dataset, handle missing values, and perform feature engineering to prepare the data for modeling.

Next, the student will implement and compare several machine learning models, such as linear regression, random forest, and gradient boosting, to predict bio-ink properties. They will train, validate, and test these models, and evaluate their performance using appropriate metrics. The student will also conduct feature importance analysis to identify which factors most strongly influence viscosity and printability.

Throughout the project, the student will analyze and interpret results, linking model outputs to meaningful insights for bio-ink design. Regular meetings with the supervisor will provide guidance, feedback, and support for troubleshooting.

The student will also be responsible for documenting their work, maintaining well-organized code, and preparing a final report summarizing the methodology, results, and conclusions. If time permits, the student may contribute to preparing the work for presentation or publication.

This role will provide the student with hands-on experience in machine learning, data analysis, and computational biomaterials, while contributing to a project with practical applications in 3D bioprinting and tissue engineering

Skills required:
The student should have a background in computer science, data science, biomedical engineering, or a related field. Basic knowledge of machine learning is required, including familiarity with regression or classification models. Experience with Python and common libraries such as NumPy, pandas, and scikit-learn is expected. Some exposure to deep learning frameworks (e.g., PyTorch or TensorFlow) is helpful but not required. The student should be comfortable working with datasets, performing data cleaning and analysis, and have good problem-solving skills. Prior knowledge of biomaterials or bioprinting is not required, but an interest in interdisciplinary research is encouraged.

Research area: My research focuses on the processing, characterization, and performance optimization of engineering materials, particularly aluminum alloys and advanced composites. I investigate microstructure–property relationships and heat treatment effects to improve the mechanical behavior of cast and wrought alloys for automotive and structural applications. My work also includes sustainable materials, such as seaweed-derived biodegradable bioplastics for packaging applications. I apply artificial intelligence and data-driven approaches for the prediction and inverse design of material properties. In addition, I conduct research on deep cryogenic treatment of steels and reliability enhancement of engineering components.

Student roles:
The student will assist in alloy preparation, sample preparation, and mechanical testing. The student will help with microstructure analysis, data collection, and data analysis. The student will also be trained to use AI models, reviewing the literature, and preparing reports and presentations. Results from the project may be published in conference proceedings or journal papers.

Skills required:
The student should have a background in Mechanical Engineering, Materials Engineering, or a related field. Basic knowledge of materials and laboratory work is preferred. Experience with Excel, and data analysis is useful . Good communication skills and the ability to work independently are important.

Research area: In recent years, industry sectors have started to leverage the value of metal additive manufacturing (AM) beyond prototyping. For instance, the aviation and biomedical industry are increasingly bringing AM into use for actual production, particularly targeting complex designs with superior performance. In the automotive industry, AM has recently enabled the fabrication of lighter and more complex structures at the reasonable cost. Overall, AM has radically changed the approach to designing, developing, and manufacturing new products.

Student roles:
The research program will train HQP in multidisciplinary fields with skillsets highly relevant to the metal additive manufacturing field and translatable to engineering sciences in an environment where the recruitment process, team composition, training and development opportunities will encourage full participation, support, and integration of underrepresented groups, as well as a transparent and supportive work environment. The student be trained by and work alongside with grad students and senior researchers. Depending on the student's skills and interest, the student will assist in printing test coupons and evaluating the performance (target density via computed tomography, geometrical accuracy via 3D scanning, and surface quality via profilometry). Standard coupon geometries (cylinders, bars, and tensile specimens) will be produced via metal additive manufacturing techniques. Materials characterization equipment, such as various powder analyzers, X-ray diffractometers, X-ray computed tomography, electron and optical microscopes, hardness testers, etc. will be deployed, where the student will receive training in advance. The student will also have the opportunity to explore design for additive manufacturing, machine vision, sensing and instrumentation, data analytics and machine learning approaches, depending on their background.

Skills required:
Join our Additive Manufacturing (AM) team as a Co-op Student and dive into the exciting world of advanced design, simulation, material processing, and characterization in 3D printing world. You’ll work on cutting-edge projects, collaborating with industry partners to develop innovative solutions and optimize AM processes for real-world applications. In this role, you will gain/practice hands-on experience with CAD, simulation tools (e.g., FEA, CFD), and material testing techniques, while contributing to the development of next-generation additive manufacturing technologies. Ideal candidates have a strong interest in design, modeling, materials science, mechanical engineering, or related fields.

Research area: Additive manufacturing of conductive polymer nanocomposites enables the fabrication of complex, multifunctional sensor architectures with tailored electrical and mechanical properties. By incorporating conductive fillers such as carbon nanotubes or graphene within polymer matrices, it is possible to engineer percolated networks that are highly sensitive to strain, pressure, or environmental stimuli. The layer-by-layer deposition process further allows precise control over microstructure, influencing both conductivity and interfacial interactions. This approach offers a scalable route to lightweight, flexible, and customizable sensing platforms for applications ranging from structural health monitoring to wearable electronics.

Student roles:
The student will play an active role in the development and optimization of conductive nanocomposite-based sensors. They will be responsible for carrying out additive manufacturing processes, as well as characterizing microstructures and performing electrical conductivity measurements. The student will analyze and interpret experimental results to establish links between processing, structure, and properties. They will also contribute to the design and improvement of sensor geometries and will be required to prepare a final report summarizing their work and findings. Overall, the student will support the project through both experimental work and scientific analysis.

Skills required:
The student should have a basic understanding of polymer materials and nanocomposites, along with general knowledge of additive manufacturing processes. Familiarity with characterization techniques such as microscopy and an interest in microstructure–property relationships are important. Basic skills in data analysis and an understanding of electrical conductivity concepts are required. Some experience with CAD or design tools is an asset. The student should be motivated, autonomous, and comfortable working in a laboratory environment.

Research area: Research in advanced coatings, thin films, and nanostructured materials for electrochemical energy applications. The work focuses on deposited functional coatings, electrochemical characterization, and structure–property relationships in advanced materials systems for hydrogen and sustainable energy technologies.

Student roles:
The student will assist with sample preparation, thin-film deposition, electrochemical testing, materials characterization, literature review, data analysis, and preparation of technical reports and presentations. The intern will gain practical experience with advanced laboratory instrumentation and experimental materials research.

Skills required:
Background in materials science, mechanical engineering, chemical engineering, nanotechnology, physics, chemistry, or related disciplines. Experience with laboratory work, electrochemistry, or materials characterization is beneficial but not mandatory.

Research area: My group, Materials Processing and Performance (MaPP) Lab, uses experiments and computer simulations to optimize traditional materials, design new advanced materials, and study their processing-structure-property relationships at multi-length scales, for improved performance in extreme service conditions.

Student roles:
Depending on student choice, there is room for purely experimental research (or computational approach) to design new bulk and stabilized high-entropy alloys (HEAs). The student will determine the optimum conditions to achieve stable NC structure in milled HEA powders; and also the optimum deposition conditions that make stabilized NC powders sprayable.

Skills required:
Students should have basic knowledge about materials and how to relate the structure-property-performance of these materials. Basic knowledge of the use of computational materials science tools (Density-functional theory (DFT), Molecular Dynamics (MD), Machine learning (ML), Calphad) is an advantage, but not firmly required.

Research area: My research focuses on advanced materials for energy storage devices, including nanomaterials and nanostructure design and fabrication, surface and interface engineering, next-generation batteries, advanced characterization for materials and interfaces.

Student roles:
The student's role in this project include 1) Anode-free electrode fabrication; 2) interface modification for the anode-free electrode; 3) Electrochemical performance testing for the anode-free electrode.

Skills required:
We are looking for highly motivated, collaborative and open-minded students with backgrounds including but not limited to materials, chemistry, chemical engineering, physics and related fields. The ideal candidates are expected to dedicated to scientific study and addressing key challenges.

Research area: Specialized research areas include processing, properties, and joining of gas turbine materials, corrosion of materials in supercritical carbon dioxide, supercritical carbon dioxide Brayton cycle development, and gas turbine development for flight test vehicle and aircraft applications.

Student roles:
The student will be responsible for extending and refining the existing sCO2 corrosion database, with an emphasis on incorporating additional factors highlighted in recent review work, such as carburization behavior, stress‑assisted degradation (tensile, creep, fatigue, thermal cycling), and the influence of impurities and coatings. This will involve systematic literature review, extraction and standardization of key variables, treatment of missing or inconsistent data, and careful documentation of data provenance for future use.

Building on this database, the student will implement and compare AI/ML models (e.g., artificial neural networks and other suitable algorithms) to predict corrosion and degradation metrics under specified service conditions, perform basic tuning and validation, and quantify model accuracy and uncertainty. The student will regularly discuss progress with the supervisor, propose refinements to the model architecture or input feature set, and help identify promising directions for follow‑on work such as extension to related high‑temperature environments (e.g., steam or air) for materials screening. At the end of the internship, the student will deliver an updated, well‑documented dataset, example prediction workflows, and a concise technical report and presentation summarizing the methods, results, and recommended next steps for AI‑assisted sCO2 materials assessment.

Skills required:
The student should have a strong background in materials/mechanical engineering, with demonstrated interest in high‑temperature alloys, corrosion, or power generation systems. Familiarity with sCO2 Brayton cycles, or with gas/steam power plant components is desired but not strictly required if the student is willing to learn these topics quickly.

The ideal candidate will also bring experience with data‑driven methods and basic machine learning, including:
-Working knowledge of Python or a similar language for data analysis
-Prior exposure to regression and classification methods
-Ability to read and interpret corrosion and mechanical test data from the literature
-Good written and oral communication skills

Research area: Materials Science and Engineering in application to nuclear materials, hydrogen generation and storage, pipeline for transportation of hydrogen fuel

Student roles:
Literature review, BISON orientation, collection of TRISO geometry, material properties, irradiation data, and texture/microstructure information.
Build the baseline 1D spherical UCO-TRISO model; verify mesh, time step, temperature field, gas pressure, and displacement response.
Run stress-development simulations for swelling, buffer deformation, PyC strain/creep, radial stress, hoop stress, and SiC tensile stress.
Perform selected parametric cases for temperature, burnup/fluence, layer thickness, PyC creep, SiC strength, IPyC cracking, and particle shape.
Analyze stress trends and failure probability; prepare figures, risk maps, and final report

Skills required:
Density Functional Theory, Finite Element Modelling, Simulation and Modelling Experience.

Research area: The research area is related to materials engineering, chemical engineering, and forestry engineering. It deals mainly with the characterization and transformation of wood and biomaterials. More specifically, the research work concerns: The development of biocomposites based on natural fibers including wood and polymers including transparent biocomposites The characterization of materials and biocomposites by advanced tools such as infrared spectroscopy, optical and confocal microscopy The development of non-destructive characterization methods of biomaterials using acoustic and spectroscopic tools and others.

Student roles:
The intern will work closely with the research team and will be responsible for several tasks including:
Follow mandatory training in occupational health and safety and on the use of laboratory equipment;
Conducting a bibliographic study related to the research project;
Performing laboratory work on biocomposite shaping and characterization of their properties;
Collecting and processing experimental data and analyzing the results;
The writing of an internship report;
Presentation of the results to the research team and the project partners;
Participate in team meetings;
Other tasks and responsibilities related to the project.

Skills required:
Knowledge of materials science
Good oral and written communication skills (French and/or English)
Ability to work in a team
Experience working in a laboratory environment
Autonomy and leadership skills.

Research area: The research area is related to materials engineering, chemical engineering, and forestry engineering. It deals mainly with the characterization and transformation of wood and biomaterials. More specifically, the research work concerns: The development of biocomposites based on natural fibers, including wood and polymers, including transparent biocomposites The characterization of materials and biocomposites by advanced tools such as infrared spectroscopy, optical and confocal microscopy The development of non-destructive characterization methods of biomaterials using acoustic and spectroscopic tools and others.

Student roles:
The intern will work closely with the research team and will be responsible for several tasks including:
Follow mandatory training in occupational health and safety and on the use of laboratory equipment;
Conducting a bibliographic study related to the research project;
Performing laboratory work on biocomposite shaping and characterization of their properties;
Collecting and processing experimental data and analyzing the results;
The writing of an internship report;
Presentation of the results to the research team and the project partners;
Participate in team meetings;
Other tasks and responsibilities related to the project.

Skills required:
Knowledge of materials science
Good oral and written communication skills (French and/or English)
Ability to work in a team
Experience working in a laboratory environment
Autonomy and leadership skills.

Research area: The Dagdeviren Research Group at École de Technologie Supérieure has been established in 2020 with the objective of mechanical, electrical, chemical, electrochemical, and optical materials characterization at the ultimate spatial and temporal limits. We concentrate on employing local probes, in particular advanced scanning probe methods that are continuously further developed in our lab with the goal of quantifing and mapping surface forces, interaction energies, and other parameters such as electrochemistry, tunneling currents, and charge distributions with high resolution. Results obtained from those measurements are then compared with data obtained using complementary approaches including various microscopy/spectroscopy techniques and mechanical/thermal testing.

Student roles:
Conduct experiments and analyze data with existing Ph.D. students.

Skills required:
Basic programming with MATLAB.
Experience on experimental work is an asset but not required.
Experience/knowledge of control systems.

Research area: Our Team investigates the properties of nanomaterials to realize their full potential in next generation electronics. We are particularly interested in solution-processing techniques for their unparalleled potential in low cost, flexible, stretchable and large surface area applications. Our core objective is to establish a state-of-the-art laboratory for (1) solution processed based energy converters and for (2) power and light interactive electronic textiles, or simply smart textiles. Our multidisciplinary work unites skills and expertise from different disciplines including but not limited to electrical, chemical, mechanical and materials science engineering as well as physics and chemistry.

Student roles:
Our research is multidisciplinary and the student will be learning a variety of skills essential to solar cell design and fabrication. The student will perform the following duties:
• Fabricate designed heterostructured perovskite films in the lab.
• Investigate the impact of integrating different chemical treatment processes in the perovskite film fabrication procedure.
• Perform various testing on the developed films to examine their optical, chemical, and electronic properties
• Perform XRD and SEM tests on promising perovskite films to further analyze their crystal structure. .
• Propose other ideas for improving the stability and performance of perovskite films by analyzing data obtained in the lab and findings from literature papers.

Skills required:
The student needs to be interested in science and engineering; passionate about research. The preferred background of the student would be chemical engineering, materials science engineering or chemistry. Physics students are also welcomed or any related fields to those cited.

Research area: My research program lies at the intersection of materials design, environmental impact assessment, well-being indicators, and public policy, combining technical, ecological, and social analyses of planetary health. An overarching theme is to develop a material design framework that delineates material requirements for a good life within equitable environmental and societal bounds. By grounding material benchmarks in household demand and well-being, my research identifies communities facing material poverty and proposes sustainable design solutions to meet their needs. These outcomes help interest groups to prioritize both economic growth and social impact within the constraints of material resources and ecological sustainability.

Student roles:
The student will begin with a literature review to identify existing foundational ML models developed for surface reactions on oxide catalysts. This involves evaluating existing benchmarked performances of models such as MACE and Equiformer-V2, among others, for heterogeneous catalysis. The next step involves the evaluation of the performance of the identified ML models out of the box for SAF-related chemistries.

The best performing ML models will be further fine-tuned using Density Functional Theory (DFT) to improve prediction accuracy. DFT will be conducted using VASP (Vienna ab initio Simulation Package) to generate high-fidelity training data and identify the most suitable ML architecture for further experimental validation.

The resulting best-performing ML-architecture identified using both out-of-the-box and fine-tuning performance will be used to investigate the reactivity of model molecules for SAF-chemistries. A micro-kinetic model will be developed to characterize the reaction intermediates through adsorption energies and activation barriers. The most stable reaction intermediates will be probed using experimental spectroscopy. The reactivity of model molecules (anisole, phenol) will be validated against experimental results to benchmark accuracy via simulated vibrational spectroscopy fingerprints to benchmark model accuracy.

These duties and tasks will be performed under the direct supervision of the faculty member. In addition, the student will engage with other lab members to receive feedback and meet with the faculty member one-on-one weekly to monitor progress toward the goals and discuss ways to improve the learning experience.

Skills required:
The student is expected to have a background in chemistry, materials science, chemical engineering, or a related field, with an interest in combining experimental and computational methods to accelerate materials discovery. Experience with surface chemistry, micro-kinetic modeling, and the Python environment would be highly preferred, but not a requirement. The student should also be comfortable multitasking between experimental and computational components of the project. The student is also expected to work in a team setting and participate in group meetings through discussion and presentations.

Research area: Our group is dedicated to advancing sustainable energy materials and technologies. We integrate cutting-edge materials design with advanced characterization techniques to tackle the critical challenges facing next-generation green energy systems. Our current research focuses on high-performance and all-climate batteries, including: (1) High-energy Li/Na-ion cathodes, anodes, and their interfaces (2) Novel solid-state electrolytes (3) Proton batteries (4) Battery recycling (5) Atomic/molecular layer deposition (6) Advanced characterization, such as synchrotron By developing innovative strategies at the material, interface, and device levels, we aim to revolutionize energy storage for a wide range of applications, including next-generation electric vehicles, grid-scale energy storage, and beyond.

Student roles:
(1) Assist in the synthesis and preparation of battery materials.
(2) Participate in electrode fabrication, battery assembly, and cell preparation under the supervision of graduate students and faculty members.
(3) Conduct electrochemical testing, including charge-discharge cycling, cyclic voltammetry, and electrochemical impedance spectroscopy.
(4) Assist with materials characterization using techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), particle-size analysis, and other available characterization tools.
(5) Collect, organize, analyze, and interpret experimental data using appropriate software and statistical methods.
(6) Maintain accurate laboratory notebooks and research records to ensure data integrity and reproducibility.
(7) Follow laboratory safety procedures and contribute to maintaining a safe and organized research environment.
(8) Participate in regular research meetings, progress discussions, and technical training sessions.
(9) Collaborate with graduate students, postdoctoral researchers, technical staff, and faculty members on project-related activities.
(10) Assist in literature reviews to understand the current state of battery technologies and identify research opportunities.

Skills required:
(1) Strong interest in batteries, electrochemistry, energy storage technologies, and sustainable energy systems.
(2) Basic knowledge of materials science, chemistry, and engineering principles obtained through undergraduate coursework.
(3) Fundamental understanding of electrochemistry, including battery operation, charge/discharge processes, and electrode materials (preferred).
(4) Familiarity with common laboratory safety procedures and good laboratory practices.
(5) Basic data-analysis skills, including the use of spreadsheets, graphing software, and scientific data interpretation.
(6) Ability to work both independently and collaboratively in a multidisciplinary research team.

Research area: Our group is dedicated to advancing sustainable energy materials and technologies. We integrate cutting-edge materials design with advanced characterization techniques to tackle the critical challenges facing next-generation green energy systems. Our current research focuses on high-performance and all-climate batteries, including: (1) High-energy Li/Na-ion cathodes, anodes, and their interfaces (2) Novel solid-state electrolytes (3) Proton batteries (4) Battery recycling (5) Atomic/molecular layer deposition (6) Advanced characterization, such as synchrotron By developing innovative strategies at the material, interface, and device levels, we aim to revolutionize energy storage for a wide range of applications, including next-generation electric vehicles, grid-scale energy storage, and beyond.

Student roles:
(1) Assist in the synthesis and preparation of battery materials.
(2) Participate in electrode fabrication, battery assembly, and cell preparation under the supervision of graduate students and faculty members.
(3) Conduct electrochemical testing, including charge-discharge cycling, cyclic voltammetry, and electrochemical impedance spectroscopy.
(4) Assist with materials characterization using techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), particle-size analysis, and other available characterization tools.
(5) Collect, organize, analyze, and interpret experimental data using appropriate software and statistical methods.
(6) Maintain accurate laboratory notebooks and research records to ensure data integrity and reproducibility.
(7) Follow laboratory safety procedures and contribute to maintaining a safe and organized research environment.
(8) Participate in regular research meetings, progress discussions, and technical training sessions.
(9) Collaborate with graduate students, postdoctoral researchers, technical staff, and faculty members on project-related activities.
(10) Assist in literature reviews to understand the current state of battery technologies and identify research opportunities.

Skills required:
(1) Strong interest in batteries, electrochemistry, energy storage technologies, and sustainable energy systems.
(2) Basic knowledge of materials science, chemistry, and engineering principles obtained through undergraduate coursework.
(3) Fundamental understanding of electrochemistry, including battery operation, charge/discharge processes, and electrode materials (preferred).
(4) Familiarity with common laboratory safety procedures and good laboratory practices.
(5) Basic data-analysis skills, including the use of spreadsheets, graphing software, and scientific data interpretation.
(6) Ability to work both independently and collaboratively in a multidisciplinary research team.

Research area: My specialized research area focuses on the development of advanced energy materials for sustainable hydrogen production and clean energy technologies. My research combines materials engineering, electrochemistry, and nanotechnology to design and characterize high-performance electrocatalysts and photocatalysts for water splitting applications. Current work includes the development of low-platinum-group-metal and PGM-free catalysts for anion exchange membrane (AEM) electrolysers, single-atom catalyst engineering, thin film deposition, and operando characterization of catalyst reconstruction mechanisms. The research aims to improve the efficiency, durability, and scalability of green hydrogen production technologies for industrial and renewable energy applications.

Student roles:
The student will participate in the synthesis, fabrication, and characterization of advanced catalyst materials for green hydrogen production. Responsibilities will include preparing samples, conducting electrochemical experiments, assisting with materials characterization using techniques such as SEM, XPS, and electrochemical measurements, and analyzing experimental data. The student will also contribute to literature review, research documentation, preparation of technical reports, and presentation of research findings during group meetings. The role provides hands-on training in advanced materials research, electrochemistry, and clean energy technologies within a collaborative research environment.

Skills required:
The ideal student should have a background in materials engineering, chemical engineering, chemistry, physics, or a related field. Experience with laboratory research, nanomaterials synthesis, electrochemistry, or materials characterization techniques is considered an asset. Familiarity with techniques such as SEM, XRD, XPS, or electrochemical measurements (e.g., cyclic voltammetry, EIS, or water electrolysis testing) would be beneficial but is not mandatory. The student should possess strong analytical and problem-solving skills, attention to detail, and the ability to work independently as well as collaboratively in a multidisciplinary research environment. Basic scientific writing and data analysis skills are also desirable.

Research area: Nanotechnologies have opened up a range of possibilities for flexible electronic applications. In particular, graphene has been successfully coated on fabric substrates to make strain gauges and heaters. Reasonable electrical conductivity was combined with mechanical flexibility and durability. In this project, the use of graphene is explored to manufacture end-of-life sensors for high performance fabrics that are used to produce protective clothing for firefighters, workers in the oil and gas industry, and others exposed to heat and flame.

Student roles:
The mission of the student in this project includes the following tasks:
• Prepare an experimental design
• Produce samples
• Characterize the sample performance
• Analyze the results
• Produce technical reports
• Prepare progress presentations

The student will work in close collaboration with the rest of the research team, which includes Master and PhD students and other interns. They will be trained on different techniques used for the sensor manufacturing and relevant characterization and accelerated aging equipment in the state-of-the-art laboratories at the University of Alberta. Throughout the internship, they will also have the opportunity to interact with the industrial partners involved in the project and possibly perform some of the manufacturing activities at their facilities.

Skills required:
In addition to solid skills in polymer science and materials engineering, it is critical that the student is curious and rigorous. They should also be able to work independently while displaying a good ability for team work. Oral and written communication skills are important as well. Some lab work experience, for instance at preparing samples and characterizing materials performance, is an asset.

Research area: The integration of electronic and data processing functions within textile products has given rise to e-textiles. They can sense variations in the environment, either external or from the wearer, and react by performing an action, and even adapt their properties. E-textiles offer major opportunities in healthcare, protection, and sportswear among others.

Student roles:
The mission of the student in this project includes the following tasks:
• Prepare an experimental design
• Produce samples
• Characterize the sample performance
• Analyze the results
• Produce technical reports
• Prepare progress presentations

The student will be trained on different techniques used for the characterization of the heating textile performance in the state-of-the-art laboratories at the University of Alberta. Throughout the internship, they will also have the opportunity to interact with the project industry partner.

Skills required:
In addition to solid skills in science and engineering, it is critical that the student is curious and rigorous. They should also be able to work independently while displaying a good ability for teamwork. Oral and written communication skills are important as well. Expertise in textiles and lab work experience, for instance at preparing samples and characterizing materials performance, are an asset.

Research area: Fire-protective garments are made from flame-resistant fibers that offer high mechanical strength and thermal stability. However, these fibers degrade over time due to exposure to heat, UV radiation, and moisture, especially in the extreme conditions firefighters face. Any loss in performance of the protective clothing can have dramatic consequences for the firefighter’s safety. It is thus critical to better understanding the aging behavior of the flame-resistant fibers/fabrics to increase the durability of the fire-protective garments and improve firefighter safety, potentially saving lives through innovative advancements in protective clothing technology.

Student roles:
As a summer intern on this project, you will play an important role in advancing the understanding the aging of firefighter protective garments. Your mission will include:

• Experimental Design: Craft and refine experimental setups and procedures to simulate real-world service conditions.
• Specimen Preparation: Prepare test samples of flame-resistant fabrics according to international testing standards.
• Aging Treatments: Conduct accelerated aging treatments to assess how materials degrade over time under various conditions.
• Performance Characterization: Evaluate the residual performance of aged materials using advanced analytical techniques.
• Data Analysis: Analyze experimental data to draw meaningful conclusions about material durability.
• Technical Reporting: Compile findings into comprehensive technical reports.
• Progress Presentations: Prepare and deliver presentations to share progress and findings with the research team.

You will work closely with a dedicated Ph.D. student, receiving hands-on training in techniques and equipment used for accelerated aging and performance assessment of fire-protective fabrics. Our laboratories at the University of Alberta will provide you with the tools and environment necessary for high-quality research.

Collaboration is a key component of this role. You will engage with our multidisciplinary research group, benefiting from diverse expertise and perspectives. This collaborative environment will enrich your learning experience and foster innovative problem-solving approaches.

Additionally, you will attend the weekly Textile Science Seminars where students present their results, receive feedback, and gain insights from peers and experts. These seminars are a platform for knowledge exchange; they will give you the opportunity to discover the wide range of topics on which the members of the group are working.

This internship offers a unique blend of independent research, teamwork, and professional development. By joining our project, you'll gain invaluable experience, enhance your skills, and impact the safety and effectiveness of firefighter protective gear.

Skills required:
For this project, we are seeking students with a good understanding of polymer science. The ideal candidate should be curious and meticulous, able to work independently as well as in a team environment. Strong oral and written communication skills are essential. Prior laboratory experience and knowledge of textiles are advantageous.

Research area: The research area is related to materials engineering, chemical engineering, and forestry engineering. It deals mainly with the characterization and transformation of wood and biomaterials. More specifically, the research work concerns: The development of biocomposites based on natural fibers, including wood and polymers, including transparent biocomposites The characterization of materials and biocomposites by advanced tools such as infrared spectroscopy, optical and confocal microscopy The development of non-destructive characterization methods of biomaterials using acoustic and spectroscopic tools and others.

Student roles:
The intern will work closely with the research team and will be responsible for several tasks including:
Follow mandatory training in occupational health and safety and on the use of laboratory equipment;
Conducting a bibliographic study related to the research project;
Performing laboratory work on biocomposite shaping and characterization of their properties;
Collecting and processing experimental data and analyzing the results;
The writing of an internship report;
Presentation of the results to the research team and the project partners;
Participate in team meetings;
Other tasks and responsibilities related to the project.

Skills required:
Knowledge of materials science
Good oral and written communication skills (French and/or English)
Ability to work in a team
Experience working in a laboratory environment
Autonomy and leadership skills.

Research area: The Sustainable Functional Biomaterials lab at UBC is led by Prof. Feng Jiang, an Assistant Professor and Tier II Canada Research Chair. The lab focus on developing functional materials using naturally abundant biopolymers (cellulose, or chitin) for advanced applications in energy storage, electrical sensors, thermal management, and water treatment. Our lab has published in high profile journals such as Advanced Materials, Advanced Functional Materials, ACS Nano, Chemical Engineering Journal, ACS Applied Materials and Interfaces, ACS Sustainable Chemistry and Engineering, and Journal of Materials Chemistry A, etc.

Student roles:
In this role, the intern will get to know the state-of-art nanotechnologies in deriving and characterizing bio-based nanomaterials from wood. He/she will use knowledge in polymer chemistry and engineering to construct conductive (either ionic conducting or electrical conduting) materials (hydrogel, aerogel, film, and fibers) for advanced applications. Electrochemical characterization, such as EIS, Potentiostat, electrical conductivity, will be used to characterize the materials functions. The intern will help a PhD student to collect data in the lab, analyze the data, and prepared presentation and manuscript.

Skills required:
A qualified candidate should have strong background in materials science and engineering, polymer materials and chemistry. Knowledge in electrochemistry and electrical engineering is considered a merit. Previous lab experience and a good understanding of research is also highly desirable.

Research area: Nano-structured silicon shows substantial promise for light-emitting devices that serve as the foundation of the rapidly developing field of silicon photonics. My group has been exploring the doping of such structures with rare earth elements (Er, Tb, Ce, and Eu) by using in-situ doping processes. Most exciting from a practical perspective is the potential for tunability of the emission wavelength within the visible and near-infrared (NIR) spectral range. In addition, silicon carbonitride structures are of interest for the manufacturing of optical materials with robust mechanical properties, which makes them attractive as components for silicon-based photonics under harsh conditions.

Student roles:
The project is designed to be flexible to accommodate the student's interests, background, and abilities and will include some or all of the following aspects: Deposition of thin films with a wide range of refractive indexes, with and without rare-earth doping, on different substrates and with different thicknesses depending on the application; thin film analysis using a variety of characterization tools (positron annihilation spectroscopy, photo- and electro-luminescence (P/EL), Rutherford backscattering spectrometry (RBS), and variable angle spectroscopic ellipsometry (VASE)); thermal annealing studies of thin films, with different annealing temperatures and times; and stress mapping as a function of thermal treatment. The student will also be introduced to a variety of in-situ process monitoring/control tools aimed at optimizing the deposition conditions for silicon-based nanostructures, including data analysis.

Skills required:
The student will gain hands-on experience with many tools of thin film fabrication and characterization, including plasma-enhanced chemical vapour deposition, reactive sputtering, photo- and electro-luminescence, and spectroscopic ellipsometry. Thus, an aptitude for experimental work and an interest in vacuum technology and optical instrumentation are required. The analysis of data obtained from a variety of characterization tools and the operation of the thin film deposition systems requires good computer skills and knowledge of Python. Familiarity with COMSOL and/or MATLAB would be an asset.

Research area: Mohamed Lamine Fayçal Bellaredj a obtenu le diplôme d'ingénieur en électronique et le magister en physique de l'Université des Sciences et Technologies d'Oran (USTO), Bir El Djir, Algérie, respectivement en 2005 et 2007, ainsi que le doctorat. diplôme en micro-ingénierie de l'Université de Franche-Comté, Besançon, France, en 2013. Ses intérêts de recherche incluent l'acoustofluidique, les ondes acoustiques de surface et les dispositifs acoustiques à base de métamatériaux, l'ingénierie passive embarquée pour l'électronique RF, numérique et de puissance, l'hybride flexible. électronique (FHE), micro-ingénierie/nano-ingénierie, modélisation, fabrication et caractérisation de systèmes MEMS/nanoélectromécaniques (NEMS), physique et technologie des dispositifs à semi-conducteurs et cellules solaires

Student roles:
Revue bibliographique
Conception et fabrication
Rédaction de rapports et de publications (encouragée)

Skills required:
Formation en ingénierie électrique, sciences des matériaux, physique etc.

Research area: Our Team investigates the properties of nanomaterials to realize their full potential in next generation electronics. We are particularly interested in solution-processing techniques for their unparalleled potential in low cost, flexible, stretchable and large surface area applications. Our core objective is to establish a state-of-the-art laboratory for (1) solution processed based energy converters and for (2) power and light interactive electronic textiles, or simply smart textiles. Our multidisciplinary work unites skills and expertise from different disciplines including but not limited to electrical, chemical, mechanical and materials science engineering as well as physics and chemistry.

Student roles:
Our research is multidisciplinary and the student will be learning a variety of skills essential to solar cell design and fabrication. The student will perform the following duties:
• Fabricate stretchable layers of the solar cells in the lab.
• Investigate the impact of integrating different deposition processes on the integrity of the entire device
• Perform electrical testing on the developed films to examine their solar cell performance
• Perform XRD and SEM tests on promising films to further analyze their properties.
• Propose other ideas for improving the integrity and performance of the stretchable solar cells by analyzing data obtained in the lab and findings from literature papers.

Skills required:
The student needs to be interested in science and engineering; passionate about research. The preferred background of the student would be chemical engineering, materials science engineering or electrical engineering. Chemistry and Physics students are also welcomed or any related fields to those cited.

Research area: My research focuses on advanced materials for energy storage devices, including nanomaterials and nanostructure design and fabrication, surface and interface engineering, next-generation batteries, and advanced characterization for materials and interfaces.

Student roles:
The student's role in this project includes 1) Synthesis of high ionic conductive Na SSEs by different methods, such as ball milling and co-melton; 2) Physical characterizations of the SSEs to understand the morphology, chemical, and crystal structure; 3) Evaluation of the ionic conductivity of the SSEs; (4) Assembling the SSBs and testing the performances.

Skills required:
We are looking for highly motivated, collaborative and open-minded students with backgrounds including but not limited to materials, chemistry, chemical engineering, physics and related fields. The ideal candidates are expected to be dedicated to scientific study and addressing key challenges.

Research area: The Dagdeviren Research Group at École de Technologie Supérieure was established in 2020 with the objective of mechanical, electrical, chemical, electrochemical, and optical materials characterization at the ultimate spatial and temporal limits. We concentrate on employing local probes, in particular advanced scanning probe methods that are continuously further developed in our lab with the goal of quantifing and mapping surface forces, interaction energies, and other parameters such as electrochemistry, tunneling currents, and charge distributions with high resolution. Results obtained from those measurements are then compared with data obtained using complementary approaches including various microscopy/spectroscopy techniques and mechanical/thermal testing.

Student roles:
Conduct experiments and analyze data with existing Ph.D. students.

Skills required:
Basic programming with MATLAB.
Experience on experimental work is an asset but not required.
Experience/knowledge of control systems.

Research area: We are aware that every human can be identified by their unique fingerprint. Taking inspiration from this natures’ wonder, there must be an exclusive feature to identify different molecules in materials science. We can find this feature in the way molecules vibrate. Different molecules have different vibration depending on their chemical constituents. Hence, we need sensitive instrumentation that can detect these vibrations, that is, Vibrational Spectroscopy (VS). VS is a powerful technique, which identifies chemical-specific fingerprint of a molecule. This is an advantage to chemists and biologists for the recognition of synthesized drugs, chemicals, and assessing the purity of compounds.

Student roles:
The students will be performing the following activities for successful completion of the research project:
1. Review literature
The student will conduct an extensive literature review on machine learning algorithms and its application for closely related areas. They will additionally understand the role of vibrational spectroscopy for developing a sensor.
2. Characterize nanostructured surfaces
Vibrational spectroscopy techniques will be employed to characterize the nanoparticles for their physical, structural, optical and plasmonic properties.
3. Implement ML to vibrational spectra
The literature review will be used to find an ML algorithm that best fits the project. Student will then implement the algorithm. Prior to implementation, data cleaning will have to be performed.
4. Analysis of data and conclusion of results
All data from different measurements will have to be evaluated and analyzed. Results will be interpreted logically and discussed scientifically.
5. Documentation and presentation of research project
A report has to be written at the conclusion of the research project. This will be considered an official document for the student. Furthermore, the student will be encouraged to present their results to the scientific community as an oral presentation.

Skills required:
The project is best suited for undergraduate students in materials engineering, physics and biology seeking to enhance laboratory, analytical and interpersonal skills. The students should possess excellent scientific acumen and experimental skills. The student will work in highly collaborative environment. Thus, good communication abilities are desirable. The nature of research stretches across multiple disciplines hence strong background in the following areas are required:
-Basics of atomic, molecular and optical physics (undergraduate physics)
-Basics of computer programming skills (undergraduate computer science, Python)
-Basics of materials science and vibrational spectroscopy (undergraduate materials engineering)
-General mathematics and biology knowledge (high school science)

Research area: Dr. Daolun Chen, Fellow of the Royal Society of Canada, has established a world-leading research program aimed at understanding relationships between material microstructures and properties, including advanced materials and lightweight materials. His research program has focused on mechanical properties, deformation, fatigue, microstructural characterization, welding and joining. He has published over 550 peer-reviewed papers, and is a recipient of many prestigious awards, including Premier's Research Excellence Award, Canadian Metal Physics Award, G.H. Duggan Medal, MetSoc Award for Research Excellence, MetSoc Distinguished Materials Scientist Award. Dr. Chen is a member of the Editorial Board of 28 journals. See more information at https://people.torontomu.ca/dchen/biography.html

Student roles:
The student will be first trained on how to use the state-of-the-art equipment (optical microscope, scanning electron microscope, electron backscatter diffraction, hardness tester, ultrasonic welding system, tensile testing machine, fatigue testing system, X-ray diffractometer, etc.) by a technician and other graduate students in Dr. Chen’s laboratory. The student will work initially with another graduate student, but will ultimately be responsible for the microstructural characterization and mechanical testing of materials. This will involve the preparation of metallographic samples (cutting, mounting, grinding, polishing and etching) and the identification of phases in the lightweight alloys and welded joints. The student will also be responsible for tensile and fatigue tests that allow for the structural design and life prediction of structural components. The student will assist in preparing a journal article for publication in a peer-reviewed scientific journal or conference. The student will work and interact with graduate students, but will be directly supervised by Dr. Chen, who will meet with the student every week to monitor progress and provide advice.

Skills required:
Enthusiasm required. Good knowledge in materials science and engineering. Good oral and written communication in English, problem-analyzing and problem-solving skills, and critical/creative thinking. Good personal management skills (e.g., positive attitude, effective time management, initiative taking and goal setting, etc.), and teamwork skills (contributing to team goals, respecting differences, encouraging a free discussion of new ideas, event/project planning, etc.).

Research area: My research focuses on applying artificial intelligence and data science to analyze complex, high-dimensional data. I develop machine learning and deep learning models, including graph neural networks and interpretable AI methods, to study structure–property relationships in healthcare and materials science. A key goal is to build models that are not only accurate but also transparent and reliable. In materials science, my work aims to predict material properties and support the design of new materials using data-driven approaches. Overall, my research integrates AI and domain knowledge to enable more efficient and informed scientific discovery

Student roles:
The student will play an active and central role in conducting this project. They will be responsible for implementing the machine learning pipeline to predict porosity and microstructure in 3D printed biomaterials using publicly available datasets.

The project will begin with data collection and preprocessing. The student will work with datasets such as the NIST AM-Bench and other open-source materials datasets. They will clean the data, handle missing values, and extract relevant features from printing parameters such as temperature, speed, and layer height. If image-based datasets are included, the student may also perform basic image preprocessing and feature extraction.

Next, the student will develop and train machine learning models, including regression-based approaches (e.g., linear regression, random forest, gradient boosting), to predict porosity. They will evaluate model performance using appropriate metrics and compare different methods to identify the most effective approach.

The student will also conduct analysis to understand which parameters most influence porosity, using techniques such as feature importance or simple interpretability methods. This will help connect the model results to practical insights for material design.

Throughout the project, the student will document their work, participate in regular meetings, and present progress updates. They will also contribute to a final report and may assist in preparing results for publication or presentation.

Skills required:
The student should have a background in computer science, data science, or a related field. Basic knowledge of machine learning is required, including familiarity with common models such as regression or tree-based methods. Experience with Python and libraries such as NumPy, pandas, and scikit-learn is important. Some exposure to deep learning frameworks (e.g., PyTorch or TensorFlow) would be an asset but is not required.

The student should also have strong problem-solving skills, attention to detail, and the ability to work with datasets. Prior experience with materials science is not required, but an interest in interdisciplinary research is encouraged.

Research area: Dr. Meng Li is an Assistant Professor in Mechanical and Materials Engineering at Queen’s University and a former Senior Staff Scientist at Idaho National Laboratory in the U.S. Her research combines computation, machine learning, and experiment to understand how atoms, ions, and defects control the performance of advanced energy materials. She has authored 61 peer-reviewed publications, including 25 as lead author, with more than 3,700 citations, and her work has appeared in Nature Energy, Nature Catalysis, Chem, ACS Energy Letters, Nano Energy, and Materials Today. She has contributed to 6 U.S. patents and has led many projects.

Student roles:
The student will play an active role in a computational materials research project focused on small ion transport in functional oxide materials. Working closely with the supervisor and research group, the student will:
• Learn the basic concepts of ion transport, defect chemistry, and atomistic trajectories in crystalline materials.
• Use Python and visualization tools such as OVITO, VMD, or VESTA to inspect molecular dynamics trajectory data.
• Develop or adapt analysis scripts to identify ion hopping events, calculate residence times, estimate diffusion descriptors, and describe local atomic environments.
• Compare how material composition, dopants, oxygen vacancies, or local structural features influence ion migration pathways.
• Prepare figures, trajectory visualizations, and short written summaries that connect data analysis results to physical mechanisms.
• Present progress in regular group meetings and receive feedback from the supervisor and other group members.

The intern will begin with guided tutorials and example datasets before moving to research data from active projects in the group. The emphasis will be on learning how to turn raw simulation outputs into physically meaningful insights, rather than independently developing complex simulation methods from scratch.

The student’s work will be integrated into an active research project, with the goal of contributing to a future research manuscript. Students who complete the planned analysis and contribute to the interpretation and preparation of the results will be included as coauthors.

By the end of the internship, the student will have gained practical experience in materials data analysis, atomistic visualization, scientific programming, defect chemistry, and research communication. Final deliverables will include Python notebooks or scripts, selected trajectory visualizations, quantitative summary plots, a short technical report, and a final presentation.

Skills required:
We are looking for a curious and motivated undergraduate student with a background in materials science, chemistry, physics, engineering, computer science, or a related field. Basic experience with Python or another programming language is strongly preferred. Prior experience with molecular dynamics, density functional theory, or machine learning is not required. A solid understanding of general chemistry, atomic structure, or materials science will be helpful. The project is well suited for students who enjoy data analysis, visualization, scientific reasoning, and learning how atomic-scale mechanisms control materials performance.

Research area: Tuning surface properties is of significant interest across a wide range of engineering applications, and the development of low-cost, scalable manufacturing techniques for producing functional surfaces is attracting increasing attention, particularly in the aerospace and space sectors. By functionalizing metal powders to create micro- and nanoscale surface features, it is possible to tailor material performance through increased surface-area-to-volume ratios and enhanced densities of catalytically active sites. These engineered materials have potential applications in sensors, radar-absorbing coatings, actuators, electrocatalysis, thermal management, and other next-generation technologies.

Student roles:
The student may be responsible for preparing coated and/or powder samples using cutting, mounting, and polishing equipment. Once prepared, the samples will be analyzed using optical microscopy and scanning electron microscopy (SEM), and mechanical testing will also be conducted. In addition, the student will gain experience using advanced finite element modeling software to simulate high-speed particle impacts and investigate material behavior in harsh service environments.

The student is expected to collaborate closely with other members of the research group and will work alongside talented graduate students in a supportive and knowledge-sharing environment. Regular laboratory meetings will provide opportunities to discuss research findings, exchange ideas, and monitor project progress. The team is international and welcoming; although some members speak French, most communication and research activities are conducted in English to foster an inclusive environment. The student will also be expected to prepare clear, well-organized technical reports and contribute to documentation in the style of scientific research papers.

Skills required:
Interested students should have a basic understanding of material mechanics and good writing skills. Familiarity with characterization tools such as microhardness testing, optical microscopy, SEM, and ImageJ for porosity and image analysis is desirable. While prior knowledge of cold spray is not required, students are encouraged to read introductory papers. On-site training will be provided, so lack of experience is not a barrier. The student will gain hands-on experience with advanced characterization equipment (CS, SEM, sample preparation). Precision, enthusiasm, curiosity, and attention to detail are essential during experiments and for writing reports or potential research papers.

Research area: Dr. Natale’s research interests lie at the interface between rheology, soft matter and active/passive colloidal suspensions. A combination of modeling and experiments is applied to explain in depth the rheological behaviour of complex/structured fluids. Active areas of research are: • Rheology of colloidal suspensions: focus on microstructural models. • Active colloids: Active colloids are self-propelling particles which transform energy into motion. Their dynamics ranging from the single particle to their collective motion is studied. • Rod-like particle suspensions: Rods (e.g. carbon nanotubes) are elongated objects with high aspect ratios. Dispersed in fluids, they create a viscoelastic medium with thixotropic properties.

Student roles:
The student will actively contribute to experimental research on the formulation and characterization of microgel-stabilized Pickering emulsions. Working closely with the supervisory team, they will assist in preparing microgel suspensions and emulsions, controlling formulation conditions, and systematically varying key parameters such as particle concentration, salinity, pH, and oil–water ratios.

The student will carry out experiments to assess emulsion stability over time and under different environmental conditions, and will use microscopy and other imaging techniques to observe droplet size, interfacial structure, and microgel adsorption behavior. In parallel, they will support rheological measurements to relate microscopic structure to macroscopic flow and stability properties.

They will be responsible for collecting, organizing, and analyzing experimental data, and for interpreting results in the context of interfacial science and soft matter theory. The student will participate in group meetings, contribute to discussions on experimental design, and present progress updates.

At the end of the project, the student will summarize their findings in a written report and present their results to the research group, contributing to the development of design principles for sustainable, surfactant-free emulsion systems.

Skills required:
The ideal candidate is an undergraduate student in chemical engineering, materials science, chemistry, physics, or a related field with a strong interest in soft matter, colloids, and interfacial phenomena. A solid foundation in fundamental science—particularly in thermodynamics, fluid mechanics, and basic polymer or materials chemistry—is important.

Prior laboratory experience in formulation science, emulsions, rheology, microscopy, or polymer systems would be an asset but is not strictly required. Familiarity with experimental techniques such as sample preparation, basic rheological measurements, optical or electron microscopy, and data analysis tools (e.g., Python, MATLAB, or Excel) would be beneficial.

Research area: Prof. Philippe BOCHER is specialized in various manufacturing processes (welding, forging, induction, surface treatments, etc.) in order to improve the durability of aeronautical structural components under complex mechanical stresses. His research projects mainly concern the relationship existing between processes, microstructures and properties. Globally recognized for his competence in fatigue and mechanical characterizations, he recently developed sophisticated tools to assess the local mechanical properties of heterogeneous materials via high resolution digital image correlation techniques and in-situ mechanical tests. A non-exhaustive list of the facilities and research projects are available on the laboratory website (http://lopfa.etsmtl.ca/).

Student roles:
i. Metallographic preparation of specimens
ii. Residual stress measurements using XRD diffraction machine
iii. In-depth Micro-hardness measurements using automatic micro-hardness tester machine
iv. Microstructure analysis using optical and scanning electron microscopes
v. Performing fatigue tests using MTS machine
vi. Analyzing the fractured surfaces of the fatigue specimens
vii. Writing the final report

Skills required:
The student should be familiar with manufacturing processes and have good knowledge about material characterization techniques.

Research area: The Canadian Centre for Welding and Joining (CCWJ) has several areas of specialization, including: laser cladding, plasmas, heat transfer in manufacturing, welding physics, materials processing, metallurgy, mathematical modeling, welding.

Student roles:
The potential impact of this project is very high because of the large demand from industry for practical solutions based on the proper physics. For the experimental testing, student must be proficient in a laboratory experiment, respectful of safety guidelines. Must be familiar and skilled with basic hardware tools. Skills in Python or LabView will be very welcome. For experiments, the student can (if desired) operate equipment and high-speed video, process and edit video and data acquisition signals.

Skills required:
Student must be familiar with Matlab and basic aspects of heat transfer. Student must be able to concentrate on the problem and make intellectual contributions. Student will learn state of the art approaches to modeling heat transfer in welding with the help and mentorship of faculty and graduate students. After learning fundamentals, student will reproduce existing models, and then will extend models into novel situations.

Research area: The proposed research aims to develop advanced metallic multifunctional materials with spatially varying compositions and microstructures using additive manufacturing (AM). The project seeks to tailor local material properties and enhance the overall mechanical performance of components. These advanced materials are intended for applications in demanding environments, where conventional materials are prone to accelerated degradation and premature failure. Functionally graded designs offer a promising pathway to improve durability, reliability, and the combination of mechanical properties within a single component. Ultimately, this project will contribute to the development of next-generation materials with extended service life and improved performance, supporting more efficient and

Student roles:
The student will engage in hands-on experimental work in the laboratory, which includes operating additive manufacturing (AM) systems and preparing samples for mechanical testing. Additionally, they will analyze the mechanical properties of alloys through hardness measurements and tensile tests. This entails collecting and analyzing
data on key features such as defects, tensile properties, and fracture surface examination. Collaborating closely with supervisors and peers, the student will interpret the results and draw meaningful conclusions. Beyond laboratory duties, the student will contribute to literature reviews, research proposals, and technical reports to document the research findings comprehensively.

Skills required:
The student for this research project should possess a background in materials science, mechanical engineering, or a related field. Key skills and attributes include laboratory experience, problem-solving abilities, teamwork, and strong written and verbal communication skills in French or English. Knowledge of numerical simulation, specimen preparation, and microscopy techniques is desirable.

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 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. The student/students will participate in the following activities:
- Melt compounding (by extrusion or batch mixer) and molding (by compression molding or injection) of polymer nanocomposites.
- Rheological, thermal and mechanical characterization of the fabricated nanocomposites by respectively: melt flow index, differential scanning calorimetry, thermal gravimetric analysis and tensile/flexural/impact resistance tests.
- Microstructural characterization of the resulting nanocomposites by microscopy and correlation between macroscopic properties, microstructure and graphene nanoplatelets dispersion state.
- Analysis of the different characterization results and suggestion of optimized nanocomposites compositions to achieve better processability, as well as better mechanical and electrical performance.
- Working in close collaboration with a doctoral student and another undergraduate intern involved in the development of sustainable aliphatic polyketone/graphene nanocomposites.
-Presenting occasionally the main findings of his/her research projects in group meetings.

Skills required:
- Strong background in materials science and mechanical engineering
- Good background in polymer science as well as composites/nanocmposites 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: The Dagdeviren Research Group at École de Technologie Supérieure has been established in 2020 with the objective of mechanical, electrical, chemical, electrochemical, and optical materials characterization at the ultimate spatial and temporal limits. We concentrate on employing local probes, in particular advanced scanning probe methods that are continuously further developed in our lab with the goal of quantifing and mapping surface forces, interaction energies, and other parameters such as electrochemistry, tunneling currents, and charge distributions with high resolution. Results obtained from those measurements are then compared with data obtained using complementary approaches including various microscopy/spectroscopy techniques and mechanical/thermal testing.

Student roles:
Conduct high-resolution scanning probe microscopy measurements and analyze data together with existing Ph.D. students.

Skills required:
Good communication skills.
Experience for experimental research is an asset but not required.
Self-motivation.
Basic Matlab programming.

Research area: Artificial intelligence (AI) has become omnipresent in our everyday life. While AI technology already displays impressive capabilities for pattern recognition and generation, its energy requirements are orders of magnitude higher than that of the human brain for similar operations, resulting in a very high carbon footprint. This could be overcome by completely redesigning computer architecture to make it similar to that of the brain. Our research area focusses on the development of materials and devices that mimic the human brain's learning behaviour, and will lead to the next generation of highly energy efficient computers.

Student roles:
The students will synthesize ferroelectric Hf0.5Zr0.5O2 and AlScN by radio-frequency magnetron sputtering. The deposition temperature and film thickness will be optimized between 350-550°C with steps of 10°C and 1-7 nm with 1 nm steps, respectively. They will then characterize the films using X-ray diffraction and piezoresponse force microscopy to determine which deposition parameters resulted in ferroelectric films so that they can then be fabricated into highly energy-efficient artificial synapses.

Skills required:
A background in engineering physics, physics, material science or electrical engineering will be a strong asset.

Research area: Dr. Xiaolei Wang's research group has research themes centering upon the design, development and application of novel nanostructured materials for energy-related technologies including lithium-ion batteries, aqueous zinc-ion batteries, lithium-sulfur (Li-S) batteries, sodium (and other alkaline)-ion batteries, and electrocatalytic system such as metal-air batteries, water electrolyzer, fuel cells, and systems for electrochemical CO2 reduction. We build upon our knowledge from the fundamental studies and understanding of mechanisms by correlating the electrochemical performance of clean energy technologies with materials' morphologies and microstructures, aiming to develop next-generation high-performance clean energy technologies for practical applications.

Student roles:
1. Reading literatures to gain a general ideas of the proposed research fields;
2. Involving the research project by assisting senior group members in materials synthesis, characterization, electrochemical measurements, as well as analyzing research results.

Skills required:
1. Courses related to chemistry and/or chemical engineering and/or materials sciences
2. Basic knowledge of electrochemistry
3. Experience of materials synthesis/characterizations for electrochemical energy storage is preferred.

Research area: Dr. Natale’s research interests lie at the interface between rheology, soft matter and active/passive colloidal suspensions. A combination of modeling and experiments is applied to explain in depth the rheological behaviour of complex/structured fluids. Active areas of research are: • Rheology of colloidal suspensions: focus on microstructural models. • Active colloids: Active colloids are self-propelling particles which transform energy into motion. Their dynamics ranging from the single particle to their collective motion is studied. • Rod-like particle suspensions: Rods (e.g. carbon nanotubes) are elongated objects with high aspect ratios. Dispersed in fluids, they create a viscoelastic medium with thixotropic properties.

Student roles:
The student will contribute to the design and execution of experimental studies investigating the behavior of active colloidal particles under optical trapping. Working under the supervision of the research team, the student will assist in preparing samples, operating microscopy and optical trapping equipment, collecting experimental data, and maintaining detailed laboratory records.

The student will analyze particle motion and interactions using image processing and data analysis tools, interpret experimental results, and compare findings with theoretical expectations and published literature. They will participate in regular research meetings, present progress updates, and contribute to discussions on experimental design and data interpretation.

Throughout the project, the student will develop skills in experimental soft matter research, optical manipulation techniques, quantitative analysis, and scientific communication. At the conclusion of the internship, the student will prepare a written report and present their findings to the research group, contributing to ongoing research efforts in active matter and colloidal science.

Skills required:
The ideal candidate is an undergraduate student in chemical engineering, mechanical engineering, physics, materials science, engineering physics, or a related discipline. The student should have a strong foundation in mathematics, physics, and data analysis, with an interest in soft matter, colloidal systems, microfluidics, optics, or complex fluids.

Previous laboratory experience is desirable but not required. Familiarity with microscopy, image processing, programming (e.g., Python, MATLAB, or similar), and experimental data analysis would be an asset. Students should be comfortable working with quantitative data and applying fundamental scientific principles to solve research problems.

Research area: Positron annihilation spectroscopy is a unique technique to investigate defects in materials at the atomic scale. It has been proven in the research laboratory to be sensitive to structures at the atomic level in studies of surfaces and near-surfaces of all of the important material systems, including functional surfaces, semiconductors, insulators, polymers and biological materials. Such sensitivity makes positrons particularly well suited to addressing the existing and growing demand by hi-tech industries, ranging from microelectronics and optoelectronics to functional coatings and thin film development, for engineering at nanometer or even atomic level dimensions.

Student roles:
The incumbent will join an active research group currently engaged in research using the experimental stations of the McMaster Intense Positron Beam Facility for materials characterization. The project is designed to be flexible according to the student's interests and abilities and will include some or all of the following aspects: vacuum technology, charged particle beam guidance, thin film analysis using positron annihilation spectroscopy and a variety of complementary characterization tools, and complex data analysis. Active collaboration with graduate students working on thin film fabrication will be essential.

Skills required:
Strong interest in and an aptitude for experimental, hands-on work are required. Experience in vacuum technology and/or the use of nuclear and optical instrumentation would be considered major assets. The research also requires the ability to analyze complex data sets, using custom software.

Research area: Radiative cooling paint is based on ultra-white pigments that reflect nearly all incoming energy from the sun and emit strongly in the atmospheric window, which leads to a net cooling effect.

Student roles:
The student will be primarily running experiments to characterize the repeatability, quality and uniformity of radiative cooling paints and their performance in an outdoor environment. Solidworks would be used as the CAD software and initial modelling software. The majority of work would be done in the NRC building of the university campus, but substantial amount of time may be required for outdoor experiments on the main University of Alberta quad.

Skills required:
A strong background in materials, mechanical or electrical engineering is required, as is a proven background in polymers, coatings or manufacturing. FDM printing experience is a strong positive as is modelling in COMSOL, ANSYS or similar software packages. Fundamental understanding of radiation, convection and conductive heat transfer mechanisms are also critical to the position.

Research area: My research program focuses on coupling advanced technologies such as additive manufacturing (3D Printing) with next-generation metallic materials for structural and functional applications. These advanced materials have applications in aerospace, automobile, biomedical, and electronic sectors. Areas of my current research interest are: - Design and development of novel alloys and techniques for additive manufacturing - Unravelling the complex microstructures in additively manufactured alloys - Microstructure and crystallographic texture control during additive manufacturing - Multi-scale mechanical behavior of metallic materials (HCP, FCC, and BCC crystal structures) - Experimental investigations of processing- structure- property- performance relationships

Student roles:
The student is required to perform the following duties:
• Undergo safety related training and take lab tours to acclimatize at University of Victoria (0.5 week)
• Work hands-on on the Universal testing system MTI 10kN to perform mechanical testing of the shape memory alloys (2 weeks).
• Perform polishing, grinding, and etching of the Ni free shape memory samples, and use the optical microscope to compute the phase fraction and grain sizes of materials (2.5 weeks).
• Work on the advanced microscopic facilities at CAMTEC to study the microstructure of the alloys (2 weeks).
• Analyze the microstructure and property data to understand the role of microstructure on the mechanical anisotropy (3 weeks).
• Writing a technical report that can be converted to/facilitate preparation of a manuscript for a journal/conference publication (2 weeks).
In case of a future journal publication of this work, the student will be credited as an author (position in the list of authors depends on the extent of contribution made by the student).

Skills required:
• Background in Metallurgical/Mechanical/Industrial Engineering
• Having taken materials science related courses and dealt with metallic samples is a strong asset.
• Demonstrated experience with using and understanding metallography equipment such as grinding and polishing systems is a plus.
• Hands-on experience with mechanical testing is a strong asset
• Excellent interpersonal and communication skills, both written and oral.
• Ability to use/ learn to use the laboratory equipment independently.
• Experience with ImageJ and other image analysis software for optical microscopes is a plus.

Research area: The project focuses on the chemical modification of pullulan to develop hydrogels for drug delivery applications. These pullulan-based hydrogels will be processed using additive manufacturing and electrospinning techniques to create tailored architectures. The intern will synthesize and functionalize the polymers, followed by physicochemical and rheological characterization. Microstructural and swelling behavior analyses will be conducted to study responses to environmental stimuli such as temperature or pH. Drug loading and release studies will be performed to evaluate performance and establish structure–property–function relationships.

Student roles:
The student will play an active role in the development of pullulan-based hydrogels for drug delivery. They will be responsible for the chemical modification of pullulan and the fabrication of hydrogels using additive manufacturing and electrospinning techniques. The student will perform microstructural, physicochemical, and rheological characterizations, as well as drug loading and release experiments. They will analyze the results to establish relationships between processing, structure, and performance. The student will also contribute to the design and optimization of the systems and prepare a final report summarizing their work.

Skills required:
The student should have a basic background in polymer chemistry or materials science, with some knowledge of chemical modification techniques. Familiarity with characterization methods and an interest in drug delivery systems are important. Basic laboratory skills and data analysis abilities are required. Knowledge of hydrogels or responsive polymers is an asset. The student should be motivated, organized, and comfortable working in a research lab.

Research area: My research focuses on the chemistry and performance of wood finishing products, bio-based adhesives and coatings, and wood modification and impregnation. I develop innovative valorization strategies for forest biomass residues, including the selective extraction of high-value compounds such as suberin, betulin, tannins and polyphenols from birch and spruce bark. I also work on stimuli-responsive and smart coatings, as well as bio-based formulations for interior and exterior wood finishing applications.

Student roles:
The ideal candidate holds a background in forest sciences, wood science, plant biology, or a related field. Familiarity with wood anatomy, plant physiology or microscopy techniques is an asset. Experience with image analysis software or three-dimensional reconstruction tools is welcome but not required, as training will be provided. The student should demonstrate strong analytical and writing skills, attention to detail, autonomy, and a genuine interest in fundamental research with applied implications for the Quebec maple syrup industry. Proficiency in French is required, and a good reading knowledge of English scientific literature is expected.

Required role of the student (max 300 mots) :
The student will collect sugar maple stem segments at different phenological stages, including dormancy, spring sap flow and post-flow periods, following established sampling protocols. All experimental work will be conducted under the supervision of a research professional, ensuring proper training in sample preparation and laboratory procedures.
The student will prepare wood samples for X-ray micro-computed tomography (micro-CT) scanning and will perform three-dimensional imaging of xylem tissues at the cellular scale. The student will then carry out image analysis to quantify key anatomical parameters such as vessel diameter, fiber dimensions, ray cell architecture and flow pathway connectivity. The student will contribute to the comparison of anatomical features across trees of different ages and stem positions, as well as between tapped and untapped trees, in order to identify structural factors associated with sap yield.
Beyond experimental work, the student will be expected to participate actively in data analysis and interpretation, maintain rigorous laboratory records, and contribute to the writing of scientific reports and peer-reviewed publications. The student will present results at regular lab meetings, and will collaborate closely with other members of the research team.

Skills required:
The ideal candidate holds a background in forest sciences, wood science, plant biology, or a related field. Familiarity with wood anatomy, plant physiology or microscopy techniques is an asset. Experience with image analysis software or three-dimensional reconstruction tools is welcome but not required, as training will be provided. The student should demonstrate strong analytical and writing skills, attention to detail, autonomy, and a genuine interest in fundamental research with applied implications for the Quebec maple syrup industry. Proficiency in French is required, and a good reading knowledge of English scientific literature is expected.

Research area: The research area is related to materials engineering, chemical engineering and forestry engineering. It deals mainly with the characterization and transformation of wood and biomaterials. More specifically, the research work concerns: - The development of biocomposites based on natural fibers including wood and polymers including transparent biocomposites - The characterization of materials and biocomposites by advanced tools such as infrared spectroscopy, optical and confocal microscopy - The development of non-destructive characterization methods of biomaterials using acoustic and spectroscopic tools and others.

Student roles:
The intern will work closely with the research team and will be responsible for several tasks including
Follow mandatory training in occupational health and safety and on the use of laboratory equipment;
Conducting a bibliographic study related to the research project;
Performing laboratory work on biocomposite shaping and characterization of their properties;
Collecting and processing experimental data and analyzing the results;
The writing of an internship report;
Presentation of the results to the research team and the project partners;
Participate in team meetings
Other tasks and responsibilities related to the project.

Skills required:
Autonomy, good laboratory skills, good writing skills, Research experience, Good GPA average.
Enrolled in one of the following BS programs: Materials, Chemical Mechanical, engineering or Forestry Engineering; or any other related field.

Research area: Mon programme de recherche vise à développer des matériaux biodégradables ayant des applications dans le domaine médical et notamment pour l'ingénierie tissulaire. Nous nous intéressons aux matériaux pouvant être utilisés dans le traitement de dommages aux tissus osseux. Ces matériaux offrent une alternative avantageuse aux traitements plus traditionnels comme la greffe de tissus ou l’utilisation de prothèses. Ce programme de recherche s'intéresse aussi à la fabrication de matériaux composites de verres biologiques/polymères ayant une macroporosité interconnectée.

Student roles:
Lors de son stage, l’étudiant fera partie intégrante du groupe de recherche et sera responsable de mener, sous supervision, un projet de recherche portant sur la caractérisation de polymères. Il réalisera des travaux de laboratoire incluant la caractérisation mécanique à l’aide de techniques telles que l’analyse mécanique dynamique (DMA) et la rhéométrie. L’étudiant pourrait également contribuer à la fabrication d’échantillons par impression 3D, incluant l’optimisation des paramètres de mise en forme. Il participera à l’analyse et à l’interprétation des résultats en lien avec les relations structure–propriétés des matériaux développés. L’étudiant sera invité à participer aux rencontres de groupe hebdomadaires et aura l’occasion de présenter ses travaux à une ou deux reprises durant son stage. La rédaction d’un rapport de stage sera également requise.

Skills required:
La personne étudiante, ayant une formation en génie des matériaux, chimique ou en génie mécanique, devra posséder de solides connaissances en caractérisation des propriétés mécaniques des polymères et/ou des céramiques. Une expérience avec l’analyse mécanique dynamique (DMA) et la rhéométrie est essentielle. Une familiarité avec les procédés de fabrication additive, notamment l’impression 3D (ou bioimpression), sera considérée comme un atout. Une bonne capacité d’analyse de données expérimentales et une rigueur en laboratoire sont requises.