Metal(loid)s are naturally occurring elements whose environmental behavior has been significantly altered by human activities such as urbanization, industrial emissions, and wildfires. Understanding the processes controlling their transfer, transformation, and accumulation across environmental compartments (air, water, and soils) remains a major scientific challenge, particularly because these processes are governed by complex interactions occurring at small scale.
This project aims to investigate the role of reactive environmental matrices—including biofilms, minerals surface and man-made matrices—in the biogeochemical cycling of metal(loid)s. Natural and anthropogenic matrices are characterized by highly heterogeneous microenvironments and high reactivity. As a result, they can act as dynamic interfaces that trap, transform, and release metal(loid)s, affecting their speciation, mobility, and bioavailability.
The research will combine field observations and laboratory experiments to explore how metal(loid)s are distributed between dissolved and particulate phases, how they accumulate within natural or engineered matrices (e.g., biofilms, filters, moss bags), and how environmental disturbances such as wildfires influence their cycling through the production of reactive ashes and particles. Particular attention will be given to identifying the chemical forms of metal(loid)s (speciation), as this parameter directly controls their environmental impact and toxicity.
Using a multidisciplinary approach that integrates analytical chemistry, environmental geochemistry, microbiology and advanced spectroscopic techniques, the project will provide new insights into the mechanisms controlling metal(loid)s transformations at interfaces. By maintaining flexibility in the studied systems while focusing on common underlying processes, this project will contribute to a better understanding of contaminant dynamics across environmental compartments and support the development of improved monitoring and mitigation strategies.
Research area, student roles & skills
Research area: I study the fate and behavior of metal(loid)s in the environment. Metal(loid)s are known contaminants, able to strongly impact ecosystems. I’m interested in how the different components of the environment (minerals, bacteria, water…) can modify metalloids’ speciation, e.g., metal(loid)s chemical form. Metal(loid)s speciation controls their toxicity to living organisms. Understanding their speciation also helps to understand their biogeochemical cycles and to better constrain their overall environmental impact. I combined different approaches (field work and lab work) as well as different innovative techniques (analytical chemistry, genetics, synchrotron) to study their environmental impact.
Student roles: Depending on the background of the student and their interests, the student will be responsible for preparing samples for chemical elemental analysis (ICP-MS) and genomics analysis (16S DNA). The student will be included in the fieldwork and could have the opportunity to take charge of the organization of the fieldwork (preparation of the materials, organization,…). He or she should be familiar with either techniques such as PCR, qPCR, and bacterial cultures, or chemistry lab work (manipulating acids, utilization of spectroscopy techniques such as ICP-MS, preparation of samples for ICP-MS, calibration, etc…). He or she will also have to analyze his data and present it during laboratory meetings.
Skills required: Training in chemistry or earth sciences, with a strong interest in environmental sciences, would be needed to participate in this project. Knowledge and/or interest in microbiology would also be considered an asset. This project will most likely include fieldwork, so any experience in the field would also be an asset. Skills in analytical chemistry or microbiology are needed.
2. Climate Change Resilience for Municipal Wastewater Treatment
The overall objective of this research program is to advance climate change resilience in municipal wastewater treatment. Municipal wastewater treatment systems have the capacity to be energy neutral or even energy positive through the use of innovative treatment technologies. Our research team investigates these technologies in the laboratory and at pilot- and full-scale wastewater treatment facilities.
Our research focuses on investigating low-energy technologies and treatment intensification strategies, such as chemical optimizations, low-footprint technologies, and UV LEDs (Light Emitting Diodes). We have a keen interest in operational strategies that reduce energy consumption and treatment technologies that inherently operate with minimal energy requirements.
Research area, student roles & skills
Research area: Our research team, led by Dr. Amina Stoddart, P. Eng., specializes in drinking water and municipal wastewater treatment. Dr. Stoddart is an Assistant Professor in the Centre for Water Resources Studies in the Department of Civil and Resource Engineering. Our team works collaboratively with municipalities, individual communities, and the private sector to advance and optimize treatment and monitoring technologies for the water and wastewater sector. We tackle research questions surrounding the use and development of advanced microbial tools for water and wastewater treatment process optimization and wastewater surveillance.
Student roles: The student will be assigned a well-defined project within the overall research program. The student will be mentored by Dr. Stoddart and work closely with graduate student researchers, and within the larger research team, to develop a research plan/hypothesis; design, allocate resources to, and perform the required experimentation; and visualize/present the results. Students should anticipate developing advanced skills to evaluate water quality. In addition to participating in activities (e.g. research meetings, presentations) directly related to their individual project, students will participate in team-wide activities to increase their exposure to other aspects of the water and wastewater treatment sector. Students will join a vibrant research environment which will support exposure to aspects of the entire urban water cycle.
Skills required: Students should have a strong interest in environmental engineering and water treatment. An interest in the use and development of novel tools for the water sector, as well as laboratory experience focused on water and wastewater analysis, is an asset. Students should have strong teamwork skills as they will work collaboratively with a diverse team composed of other students, research staff, and industry partners. Strong communication skills are essential to support and thrive in this collaborative working environment.
3. Conversion of biomass to energy storage materials
Supervisor: Bishnu Acharya
University: University of Saskatchewan (Saskatoon campus)
The project focuses on understanding the properties of locally available biomass and developing appropriate pre-treatment and conversion technologies for producing carbon material that could be used for the energy storage application.
Research area, student roles & skills
Research area: With growing interest in renewable materials for energy storage, our research group focuses on agricultural biomass as a feedstock for producing high value materials for energy storage application. We have all the resources needed to carry out the research including lab for biomass pretreatment, conversion and characterization. The proposed work will expose the intern to high quality research environment for them to learned skills around material synthesis and characterization.
Student roles: Student will work on characterizing the agricultural biomass, carry out pre-treatment and thermochemical conversion, characterization of biomass and synthesized materials, participate in the conference/seminar to present the work, and write technical report.
Skills required: A background in chemical, material or environmental engineering with some analytical skills would be appropriate for the proposed work.
4. Disruption Risk Analysis System for Critical Mineral Supply Chains
Supervisor: Samuel Yousefi
University: Ontario Tech University (Oshawa campus)
Critical minerals such as lithium, cobalt, and rare earth elements are essential for clean energy technologies, transportation systems, and advanced electronics. Their supply is concentrated in a few producing and processing regions, creating strong dependence on a limited number of key suppliers. This concentration, along with recent trade tensions and global logistics breakdowns, has highlighted the vulnerability of critical mineral supply chains. Therefore, a systematic study of potential disruption risks affecting the performance of such supply chains is required. This project aims to develop a decision support framework for managing risks associated with these supply chains. To support this objective, potential disruption risks will be identified through a comprehensive literature review and then screened based on the specific characteristics of the critical minerals industry. In the next step, the identified risks will be analyzed by considering key evaluation factors such as severity and occurrence probability, taking into account similarities with related industrial sectors. Subsequently, these risks will be prioritized using multi-criteria decision-making techniques under uncertainty, where disruption risks represent the alternatives and the evaluation factors serve as decision criteria. In the final step, the most critical risks undermining the performance of critical mineral supply chain networks will be identified. Accordingly, this project contributes to a more systematic disruption risk management approach for improving the resilience of critical supply chain systems by enabling structured risk evaluation and prioritization. The findings from the risk ranking process will support more effective mitigation strategies for enhancing preparedness against future disruptions, as proactive planning is becoming increasingly important under global uncertainty.
Research area, student roles & skills
Research area: My research focuses on three interconnected areas: (i) supply chain analytics, (ii) systems modeling, and (iii) risk and disruption management. I develop novel decision support frameworks that combine operations research and simulation modeling to help organizations make informed decisions in uncertain and rapidly changing environments. A key aspect of my work is sustainability, where I aim to design and optimize production and supply chain systems across different industries that are not only efficient and economically viable but also environmentally responsible and socially impactful.
Student roles: The student will contribute to the identification, assessment, and prioritization of disruption risks in critical mineral supply chains through a structured literature review and evidence-informed approach. The student will first conduct a systematic review of literature and publicly available trade and supply data to identify structural patterns in global critical mineral systems. This includes examining the concentration of sourcing and processing activities, as well as limitations in diversifying supply for key materials. Based on this analysis, the student will develop an initial list of disruption risks affecting supply chain continuity in relevant industries. Under the supervision of the faculty, this list will be refined to identify the most relevant and impactful risks specific to critical mineral supply chains. In the next step, the student will contribute to the analysis and prioritization of disruption risks using a hybrid multi-criteria decision-making approach under uncertainty. This will involve evaluating each risk based on key factors such as severity, likelihood of occurrence, and potential propagation across the supply network. The approach will enable a structured comparison of risks and support the identification of those with the greatest potential impact on system performance. Finally, the student will support the synthesis of findings into a coherent analytical framework that explains how disruption risks emerge, interact, and propagate within global supply systems. This includes linking structural characteristics of supply chains to their vulnerability profiles and identifying how these insights can inform more effective mitigation strategies to enhance resilience against future disruptions. By the end of the project, the student will gain experience in applied analytical research and decision-making under uncertainty. The student will also be able to analyze global supply chain vulnerabilities systematically and discuss how external shocks affect system performance and risk exposure.
Skills required: The ideal candidate is an undergraduate student in industrial engineering, mining engineering, management or a related field with strong quantitative and analytical reasoning skills. Experience in reviewing academic literature and synthesizing insights, along with familiarity with basic data handling tools (e.g., Excel), is required. Exposure to disruption management or related domains is considered an asset. The student should be motivated to work on risk assessment and decision-making under uncertainty in operational contexts.
5. Eco-Friendly Electrokinetic Treatment of Contaminated Soils Using Vermicompost Tea and Nanoparticles
Supervisor: Ikrema Hassan
University: University of New Brunswick (St. John campus)
This project investigates a sustainable method for remediating hydrocarbon-contaminated soils through electrokinetic treatment enhanced by eco-friendly flushing agents. Specifically, the study will evaluate the combined use of vermicompost tea and nanoparticles to improve the efficiency of electrokinetic remediation for soils contaminated with diesel or used machine oil.
Electrokinetic cells will be custom-designed and fabricated in the university workshop to ensure suitability for experimental conditions. The setup will consist of anode and cathode compartments connected to a direct current power supply. Vermicompost tea—a nutrient-rich, organic solution derived from the leachate of vermicompost—and functional nanoparticles will be introduced into the anode compartment as flushing agents. These agents are expected to enhance contaminant solubility, promote microbial activity, and facilitate the migration of hydrocarbons toward the cathode.
The contaminated soil will be placed in the central compartment of the electrokinetic cells. Over a series of treatment periods, voltage will be applied to initiate electroosmotic flow and electrophoresis, promoting the movement of both contaminants and treatment agents. Samples will be collected at regular intervals to monitor changes in contaminant concentration, pH, electrical conductivity, and other relevant parameters.
Laboratory analysis will be conducted to assess removal efficiency and characterize any by-products or degradation pathways. The project aims to determine the synergistic effect of vermicompost tea and nanoparticles in enhancing the overall performance of electrokinetic remediation.
This research aligns with sustainable environmental engineering practices by integrating green technologies into soil remediation. The findings may contribute to cost-effective, low-impact remediation strategies for oil-contaminated sites, particularly in areas with limited access to conventional infrastructure. The project also offers educational and training opportunities in green remediation, electrokinetics, and experimental design.
Research area, student roles & skills
Research area: My research focuses on environmental and geoenvironmental engineering, emphasizing sustainable solutions for soil and groundwater remediation and ground improvement. It includes developing low-impact technologies such as solar-powered electrokinetics to treat contaminated sites. I also study emerging contaminants in water—specifically microplastics, PFAS, and pharmaceuticals—in tributaries feeding Loch Lomond and Latimer Lake to assess ecological risks. Additional work explores bioremediation of petroleum hydrocarbons using microbial processes to enhance degradation. This integrated research supports sustainable remediation, ecosystem health, and effective water and soil management.
Student roles: The undergraduate student will play an integral role in the hands-on experimental research of this project, which focuses on developing sustainable methods for remediating hydrocarbon-contaminated soils using electrokinetic treatment enhanced by eco-friendly agents like vermicompost tea and nanoparticles. The student’s primary responsibility will be assisting in the design, setup, and operation of electrokinetic cells. This includes preparing contaminated soil samples, setting up the electrokinetic apparatus, and ensuring the correct placement of flushing agents like vermicompost tea and nanoparticles into the anode compartment. The student will be involved in monitoring experimental conditions, including applying a direct current power supply, adjusting voltages, and measuring important parameters like pH, electrical conductivity, and contaminant concentration at regular intervals. They will also assist in data collection and analysis by helping to take regular samples from the cells and analyzing these using various laboratory instruments. In addition, the student will be expected to maintain detailed lab notebooks documenting experimental procedures, observations, and any issues encountered. This will help ensure reproducibility and provide insights into optimizing the experimental setup. The student will also contribute to analyzing the effectiveness of the treatment by comparing contaminant levels before and after treatment and identifying any changes in microbial activity or degradation pathways. These analyses will help assess the role of the flushing agents in enhancing contaminant removal. The student will have the opportunity to collaborate with the research team, participate in group discussions, and receive feedback on their progress. Training and supervision will be provided throughout the project, and the student will gain valuable experience in green remediation technologies, experimental design, and data analysis. This role offers the student practical exposure to interdisciplinary research and provides the foundation for future work in environmental engineering and sustainability.
Skills required: This project is ideal for undergraduate students in chemical engineering, chemistry, or biology with an interest in environmental sustainability. No prior experience in electrokinetics or soil remediation is required, but curiosity and a willingness to learn are essential. Students should have basic lab skills (e.g., preparing solutions, handling samples) and foundational knowledge in chemistry, microbiology, or environmental science. The role involves experimental work, data collection (e.g., pH, conductivity), and following lab safety protocols. Familiarity with lab instruments and teamwork experience are a plus. This hands-on project offers training in green remediation, experimental design, and sustainable environmental technologies.
6. Engineering Biomass-Derived Activated Carbon Materials for Environmental Remediation Applications
This project focuses on the development and evaluation of biomass-derived activated carbon materials for environmental remediation applications. The student will work with graduate students and researchers involved in ongoing adsorption and carbon material development studies within BRIL.
Activities may include assisting with activated carbon preparation, adsorption experiments, material characterization, and analysis of contaminant removal performance using engineered carbon materials. The student may also support experimental studies examining relationships between activation conditions, surface properties, and adsorption behavior.
The project provides interdisciplinary exposure to sustainable materials development, environmental remediation technologies, and circular economy approaches using biomass-derived resources. Students will participate in laboratory research activities, data analysis, and technical discussions within a collaborative research environment.
Research area, student roles & skills
Research area: BRIL develops advanced biomass-derived activated carbon and engineered biocarbon materials for environmental remediation, adsorption systems, carbon capture, and sustainable energy applications. Research activities involve hydrothermal processing, activation technologies, adsorption studies, material characterization, and sustainability evaluation of low-carbon environmental technologies.
Student roles: The student will assist with ongoing research activities involving biomass-derived activated carbon and environmental remediation systems. Responsibilities may include sample preparation, adsorption testing, characterization support, data analysis, graphical interpretation, and technical reporting under supervision of BRIL researchers.
The student will participate in interdisciplinary research meetings and collaborative laboratory activities involving graduate students and postdoctoral researchers. The internship is designed to provide hands-on exposure to sustainable material development and environmental technology research within a modern research laboratory setting.
Skills required: Background in environmental engineering, chemistry, materials science, chemical engineering, or related disciplines. Interest in adsorption systems, environmental remediation, sustainable materials, or carbon technologies is preferred. Students should have strong analytical skills and interest in laboratory-based research and sustainability-focused technologies.
7. Examining the geographical distribution of Canada's Federal Contaminated Sites Inventory
The Government of Canada hosts the Federal Contaminated Sites Inventory (FCSI), which provides data (including geographic data) on the number and type of known contaminated sites in Canada. The overall goals of this project are to: 1) complete a statistical analysis of the different types of contaminated sites across Canada and use data visualization to quantify and show trends, 2) complete a geographical analysis using ArcGIS Pro to show the location and concentration of contaminated sites, and 3) link other geographical indicators like median income, ecologically protected areas, and others to the geographic distribution of contaminated sites. To carry out this research project, the Mitacs intern will first familiarize themselves with the dataset and then begin to quantify and visualize certain aspects of the dataset, like number of categorized sites, type of contamination, and other information. Next, the intern will familiarize themselves with the geographic aspect of the dataset using ArcGIS Pro, identifying characteristics of the spatial distribution that might be of interest to consider further. Finally, the intern will identify other geographical datasets that may provide interesting insights and correlate them to the location of contaminated sites, with special attention to existing regulatory conditions and future policy directions that may better protect human and environmental health. The student will use different data visualization tools in excel using the Python plug-in and geographic tools in ArcGIS Pro in order to quantify the spatial distribution of contaminated sites. The expected outcome of this project is a publication suitable for a scientific journal, and the intern will be given the opportunity to be the leading author.
Research area, student roles & skills
Research area: My area of specialization is in the design and logistics of integrated waste management systems in North America. I am particularly interested in the equitable distribution of waste management facilities and contaminated sites in Canada, and the effects of these facilities on human and environmental health. By looking at the distribution of existing waste management facilities and contaminated sites, we can understand inequitable distribution of sites and develop policies that improve outcomes for people living near these sites in the future.
Student roles: I am a new Assistant Professor at the University of Regina, having recently come to the University after working in industry for the past 5 years. I can provide you with training that will be applicable to both academic and industry positions in the future, with emphasis on providing you training for the following: (1) identifying good research questions, (2) gathering and ensuring data is accurate and representative, (3) generating hypotheses, (4) using ArcGIS, Python, and other tools to answer questions, (5) disseminating high quality research, and (6) solving practical problems using engineering tools.
The student intern will have the opportunity to work on the following during their 12-week stay with our research group: (1) conducting an effective literature review, (2) conducting analysis using the Python plugin in excel and ArcGIS Pro or QGIS (dataset will be provided), (3) conducting statistical and other technical analysis, and (4) preparing technical presentations and reports. The student will have the opportunity to prepare and present weekly progress reports that summarize their findings to other members of our research group (Master and Doctoral level students), and draft scientific papers. Outstanding candidates may have the opportunity to co-author papers with other members of the research group.
Skills required: The student should have a background in Civil or Environmental engineering, with some experience in data visualization and using Geographic Information Systems (GIS) software to complete the analysis. The student should be curious and inquisitive, and must also enjoy troubleshooting and problem solving. The student should have an interest in waste management and contaminated sites, and should be comfortable with various geographical, statistical, and data visualization methods. Effective oral and written communication skills are expected. Finally, the student should be comfortable working independently and collaboratively.
8. Informed Decision-Making Using Data Analytics, AI, ML, NLP, RSD and GIS in Health and Environmental Studies
Supervisor: Peter Khaiter
University: York University (Toronto campus)
Location: Toronto, Ontario
Start date: 2027-05-03 (flexible)
Disciplines: Engg-Environmental, Computer Science, Engg-Software, Information Studies, Mathematics, Engg-Computer, Biological Sciences, Earth Science, Ecology, Engg-Biological, Environmental Studies, Health Studies
The project is aimed at application of AI, ML, NLP, Remotely Sensed Data (RSD) and GIS in health and environmental studies, particularly, climate change, extreme weather events, data analytics and visualization, with the emphasis on extreme weather conditions and their impact on ecosystem services. The project targets extraction or generation of deeper insights, predictions or recommendations to inform decision-making, to accelerate the discovery of new knowledge and data sources on the climate change and ecosystem services. For that purpose, it is proposed to design and implement a pipeline that incorporates the necessary modules for a data-driven, accurate and effective supply of required data and forecasting. An emphasis will be made on real-world environmental issues, such as extreme weather events, and their effect on society. Furthermore, global climate change is predicted to alter ecosystems and their services which, in turn, will cause various additional losses. The proposed project will be using AI, ML, NLP, RSD and GIS applications, data analytics and visualization tools and techniques to address said research questions.
Research area, student roles & skills
Research area: Modelling of complex systems; AI, ML, NLP, Remotely Sensed Data (RSD) and GIS applications; optimization; data science and analytics; climate change, sustainable environmental monitoring and management, natural resources; ecosystem services, dynamics and stability; water quality; health informatics.
Student roles: A student will become a team member working on various aspects of the project, investigating and applying necessary theoretical concepts. The student will use a computer to work with the searching engines, to implement data pre-processing, analysis, modelling and visualization based on standard data science techniques and develop new algorithms.
Skills required: Experience with AI, ML, NLP, RSD, GIS, and environmental/ecological modelling, understanding of health and climate change issues and extreme weather events, ecosystem functioning and ecosystem services, interest in applied research, ability to use software to run computational experiments; ability to work with databases and large data sets, big data analytics, information visualization, ability to write computer code, and the desire to learn and develop new computational tools; understanding the concepts of sustainable environmental management and prior experience with writing the research papers will be considered as an asset.
9. Investigation of Emerging Contaminants Latimer Lake
Supervisor: Ikrema Hassan
University: University of New Brunswick (St. John campus)
This study assesses contaminants in Latimer Lake, focusing on pharmaceuticals and per- and polyfluoroalkyl substances (PFAS). These carcinogenic pollutants persist in the environment, threatening water quality, human health, and aquatic life. The student will contribute to sample collection, laboratory analysis, and data interpretation.
Phases of Work and Methodology
Weeks 1–8: Sample Collection
The student will receive a training on standard environmental protocols for sample collection. The City of Saint John will be involved in the selection of six sampling locations around the lake. Ten samples per site will be collected and stored at - 20 Co until analysis.
Weeks 4–6: Laboratory Analysis
The student will receive a training on using chromatography (UHPLC) for detecting and quantifying pharmaceuticals and PFAS in the samples. Quality control will be ensured through sample duplicates and calibration standards. The laboratory work will be conducted in Room 116 GH, Saint John Campus.
Weeks 6–10: Data Interpretation
The student will be involved in the data analysis to determine contamination levels. The student will prepare an Excel spreadsheet for data organization and analysis. The student will learn how to apply the maximum contaminant level and risk assessment methods to assess and evaluate potential ecological and human health risks.
Weeks 10–12: Report Preparation
The student will be involved in the preparation of the final report which will be shared with the City of Saint John.
This project will provide valuable data to support efforts in maintaining the health of Latimer Lake.
Research area, student roles & skills
Research area: My research focuses on environmental and geoenvironmental engineering, emphasizing sustainable solutions for soil and groundwater remediation and ground improvement. It includes developing low-impact technologies such as solar-powered electrokinetics to treat contaminated sites. I also study emerging contaminants in water—specifically microplastics, PFAS, and pharmaceuticals—in tributaries feeding Loch Lomond and Latimer Lake to assess ecological risks. Additional work explores bioremediation of petroleum hydrocarbons using microbial processes to enhance degradation. This integrated research supports sustainable remediation, ecosystem health, and effective water and soil management.
Student roles: The undergraduate student will play a key supporting role in a study assessing pharmaceutical and PFAS contamination in Latimer Lake. The student will be actively involved in multiple phases of the research, beginning with environmental sample collection. In the first three weeks, the student will be trained in standard protocols for water sampling and will assist in collecting water samples from six sites around the lake, in collaboration with the City of Saint John. Proper labeling and storage of samples at -20°C will be essential for maintaining sample integrity. From weeks 3 to 8, the student will transition to laboratory work. They will receive hands-on training in ultra-high-performance liquid chromatography (UHPLC) and contribute to the analysis of collected samples for trace contaminants. Emphasis will be placed on following safety protocols, ensuring quality control through the use of duplicates and calibration standards, and maintaining detailed lab records. During weeks 9 to 10, the student will participate in data interpretation. Using Excel, they will organize and analyze data to assess contamination levels. They will also be introduced to environmental risk assessment methods, including the application of maximum contaminant level guidelines to evaluate potential ecological and human health risks. Finally, in weeks 11 and 12, the student will assist in drafting the final report, which will summarize methods, findings, and recommendations. This report will be shared with the City of Saint John to inform water quality management strategies. Through this project, the student will gain hands-on experience in environmental fieldwork, laboratory procedures, data analysis, and reporting—building skills essential for future work in environmental science and engineering while contributing to a meaningful community-focused research initiative.
Skills required: The ideal undergraduate student for this project should have an interest in environmental protection and a background in environmental science, engineering, or a related field. Basic lab and computer skills, including experience with Excel, are helpful. The student should be willing to assist with outdoor water sampling, follow lab safety procedures, and help organize and interpret data. Good attention to detail and communication skills are important for contributing to the final report. While prior experience is an asset, it is not required—training will be provided. This project offers a great opportunity to gain hands-on experience with emerging water contaminants.
10. Linking Hydrodynamics to Constructed-Wetland Design in Beaver Dam Analogue: A Cold-Climate Small-Scale Nature-Based Solution
Supervisor: Flor (June) Garcia Becerra
University: University of Northern British Columbia (Prince George campus)
Location: Prince George, British Columbia
Start date: 2027-05-03 (flexible)
Disciplines: Engg-Environmental, Engg-Civil, Engg-Chemical, Engg-Biological, Engg-Systems and Technology, Engineering
In this project, you will combine hydrodynamic modelling with hands-on water-quality work to answer a question still open in the literature: can a small, community-built nature-based restoration system also clean the water passing through it, and what constructed-wetland configuration would best fit it in a cold climate? In northern British Columbia, the Nechako Environment and Water Stewardship Society (NEWSS) has built beaver dam analogues and over-wintering ponds to bring juvenile salmon and water back to a drought-stressed agricultural creek.
Over 12 summer weeks at the University of Northern British Columbia (UNBC) you will work as at the boundary of two fields of hydrodynamics and ecological engineering to: finalize a hydrodynamic model of the NEWSS site (Delft3D), join one or two summer field campaigns near Vanderhoof to collect water and sediment samples, run preliminary water-quality analyses in the WASH-T laboratory, and then model the constructed-wetland configuration that would best match the system. You will join the Water and Sanitation Holistic Technology (WASH-T) group, work alongside graduate students and community partner (NEWSS), access modern facilities, and receive structured professional-skills training while enjoying a Prince George summer.
Research area, student roles & skills
Research area: Water and Sanitation (W&S) for urban, rural and remote communities. The UNBC Water and Sanitation Holistic Technologies (WASH-T) group investigates:
• Treatment-wetland modelling to inform the design of decentralized water-treatment systems.
• Small-scale, frugal, nature-based water-treatment solutions adapted to local ecological, including constructed wetlands and community-built restoration features.
• Circular (one-water) strategies and the climate-resilience of cold-climate water systems.
Through this interdisciplinary work we advance decentralized, sustainable water treatment and address pressing challenges faced by cities and by rural and northern remote communities.
Student roles: The intern will be embedded in the WASH-T group at UNBC for 12 weeks. After an onboarding week (laboratory and field safety, software setup, project scoping and a reading list), the intern will lead three connected activites: (1) Finalize hydrodynamic modelling. Building on the existing Delft3D model of the NEWSS beaver dam analogue and over-wintering pond system at East Murray Creek, refine model boundary conditions and calibration, run summer low-flow scenarios, and derive hydraulic residence-time distributions and flow patterns across the BDA-OSP sequence. (2) Preliminary water-quality and sediment characterisation. Participate in one or two on-site sampling campaigns near Vanderhoof to collect water and sediment samples and record in-situ water quality (temperature, dissolved oxygen, pH, conductivity); at the UNBC, quantify nitrogen and phosphorus species, suspended sediment and indicators of sediment characteristics (granulometric curves, sediment density, and shape of soil and sedimentary deposit), following documented standard operating procedures with appropriate procedural blanks and replicate quality controls (3) Constructed-wetland configuration modelling. Use the combined hydraulic and water-quality dataset to evaluate alternative surface-flow constructed-wetland configurations (in-pond geometry, inlet and outlet placement, vegetation arrangement) using established design models and the cold-climate treatment-wetland modelling framework developed in WASH-T, and identify the configuration best matched to the system. Deliverables include a targeted literature review, a final research report and a final presentation to the group. Where time permits, the intern will contribute a draft section to a peer-reviewed manuscript and/or a conference abstract. Weekly one-on-one meetings with the supervisor, group-wide research seminars, and peer mentoring by graduate students provide continuous training and feedback throughout the internship.
Skills required: You should be comfortable with computational modelling and programming (Python or MATLAB preferred), with introductory exposure to fluid mechanics, hydraulics or hydrology; prior experience with hydrodynamic or water-treatment modelling tools (e.g., Delft3D, HEC-HMS) is an asset, and willingness to learn is essential. You should also be comfortable in a wet laboratory for basic water-quality analyses. Strong analytical and problem-solving skills, scientific curiosity, clear communication, good time management and a collaborative mindset are expected. While not all skills are mandatory, a combination of these competencies will greatly contribute to the candidate's suitability for the project.
11. Restoration of eutrophic lake water
Supervisor: Catherine Mulligan
University: Concordia University (Montréal campus)
The project involves the monitoring of lake quality in an area outside of the city of Montreal. Too high levels of nutrients such as phosphorus lead to the growth of algae and blue-green algae at too high levels. Therefore, restoration of these lakes is a priority. Few technologies are currently available. However this project is related to the development of an in situ method for the treatment of these lakes. The lake water quality needs to be monitored to determine the most appropriate treatment method. Both on-site and laboratory testing are currently underway and will need to be continued to develop a full scale system.
Research area, student roles & skills
Research area: My research involves the treatment of water, soil and mining residue remediation. Technologies that are low in energy and sustainable are being developed. Contaminants such as heavy metals, petroleum and nutrients from wastewater must be removed to improve the quality of the water before discharge into the environment. In addition, surface water may also be come contaminated with various organic and inorganic contaminants, rendering the water unsuitable for recreation or drinking water purposes. Therefore, remediation is necessary for these contaminants.
Student roles: The student would participate in sampling of the lakes (Sainte Anne des Lacs) on a regular basis (once a week). Analyses of these samples would take place in the laboratory for organic content (COD). nutrient content (N and P), and suspended solids etc. A probe for monitoring of dissolved oxygen, chlorophyll content etc. may be used. Tests of the effectiveness of the water quality by the treatment system would be performed. Analyses would then need to be compiled at the end of the period of the testing.
Skills required: The background of the student should be in the area of environmental engineering or science and include familiarity with analyses of water such as methods for BOD, COD, suspended solids etc.
12. Temporal analysis of agricultural biomass availability and facility siting across the globe
The Government of Saskatchewan has expressed renewed interest in biomass as a way to protect energy interests in Saskatchewan. It is well known that biomass is a large waste contributor in agricultural settings. However, there is significant potential to put this waste stream to use by creating energy. The overall goals of this project are to: 1) quantify temporal changes in a gridded dataset of annual livestock between 1960 and 2021 using ArcGIS Pro, and 2) site potential biomass facilities while considering temporal changes in biomass generation over time. In order to carry out this research project, the Mitacs Intern will first familiarize themselves with the dataset, and then begin to quantify how livestock patterns have changed over time in 2 different locations (Saskatchewan and one other location chosen by the intern). Using existing methods reported in the literature, the intern will quantify the amount of biomass generated to create a map showing biomass generation intensity over time. The intern will identify hotspots of biomass intensity, and use these locations as the starting point to propose a network of biomass-to-energy facilities. The intern will use a number of different tools in ArcGIS Pro, ranging from creating Thiessen Polygons to using the 'Create Drive Time Areas' tool to propose different biomass waste management regions. Finally, the student will compare and contrast the results from both locations to understand the differences in biomass generation potential. The expected outcome of this project is a publication suitable for a scientific journal, and the intern will be given the opportunity to be the leading author.
Research area, student roles & skills
Research area: My area of specialization is in the design of integrated waste management systems in North America. More specifically, the goal of my research is to locate waste management facilities in the best possible place so they efficiently serve the population, without negative effects on the environment and human health. I also aim to consider the infrastructure impacts of hauling waste, for example, on roads, and consider road network and layout when designing waste management regions. I am expanding this work to consider agricultural waste in order to find the best places to site biomass to energy facilities in Canada.
Student roles: I am a new Assistant Professor at the University of Regina, having recently come to the University after working in industry for the past 5 years. I can provide you with training that will be applicable to both academic and industry positions in the future, with emphasis on providing you training for the following: (i) identifying good research questions, (2) gathering and ensuring data is accurate and representative, (3) generating hypotheses, (4) using ArcGIS and other tools to answer questions, (5) disseminating high quality research, and (6) solving practical problems using engineering tools.
The student intern will have the opportunity to work on the following during their 12-week stay with our research group: (1) conducting an effective literature review, (2) conducting analysis using ArcGIS Pro (dataset will be provided), (3) conducting statistical and other technical analysis, and (iii) preparing technical presentations and reports. The student will have the opportunity to prepare and present weekly progress reports and present their findings to other members of the research group (Master and doctoral level students), and draft scientific papers. Outstanding candidates may have the opportunity to co-author papers with other members of the research group.
Skills required: The student should have a background in Civil, Agricultural, or Environmental Engineering, with some experience using Geographic Information Systems (GIS) software to complete the analysis. The student should be curious and inquisitive, and must also enjoy troubleshooting and solving problems. The student should have an interest in waste management and valorization, and be comfortable with statistical methods. Effective oral and written communication skills are expected. Finally, the student should be comfortable working independently and collaboratively.
13. Upper Nelson River water quality monitoring
Supervisor: Chengjin Wang
University: University of Manitoba (Winnipeg campus)
A novel water quality monitoring tool has been developed in Dr. Chengjin Wang’s laboratory to enable real-time monitoring of total organic pollution in aquatic environments. The method is based on the rapid reaction between hydroxyl radicals and organic contaminants, allowing water quality data to be generated within seconds. The technology is currently being optimized in the laboratory and will soon be deployed in the field to monitor water quality in the Upper Nelson River.
To evaluate the performance of the new method, conventional water quality parameters will be monitored simultaneously using multiparameter probes capable of measuring pH, temperature, dissolved oxygen, conductivity, fluorescent dissolved organic matter, and other key indicators. By comparing data generated by the new monitoring tool with those obtained from the multiparameter probes, we will assess whether the new method offers advantages in identifying pollution hotspots within the river system.
Once potential pollution hotspots are identified in the field, water samples will be collected for advanced laboratory analyses to further characterize the composition and sources of the pollutants. This integrated approach will provide valuable insights into the effectiveness of the new monitoring technology and its potential applications for environmental water quality assessment.
Research area, student roles & skills
Research area: Dr. Wang's current research focuses on (1) micropollutant removal, (2) disinfection byproduct formation and control, (3) water quality monitoring, and (4) water chemistry.
Student roles: The student will participate in laboratory and field safety training and become familiar with quality assurance and quality control (QA/QC) procedures used in environmental monitoring. The student will work as part of a research team during field testing campaigns, assisting with the operation of water quality monitoring instruments and the collection of environmental data. In addition, the student will gain experience in data processing and analysis, learn how to interpret monitoring results, and develop skills in communicating scientific findings through reports and presentations.
Skills required: - Basic water treatment and water quality knowledge is required. - Laboratory experience is an asset.
This research project aims to nurture future experts into the research area of urban water resilience by starting understanding the spatial and temporable urban water end-use dynamics for potable and nonpotable water consumption to plan for next-generation water reuse infrastructure. By understanding urban water consumption with different water quality needs, in the long run, this project will aim to help you develop interests in finding solutions of urban wate reuse infrastructure.
Research area, student roles & skills
Research area: The Sustainable Infrastructure Group in the Department of Civil and Enviornmental Engineering at the University of Waterloo works on the topic of urban infrastructure resilience by advancing modeling tehchiques to exmain the behavior of urban critical infrastructure against climate extreme events. Our research methods include soical computing (synthetic population + behaviour modeling), infrastructure system benchmarking, and emerging enerigneering solution studies.
Student roles: The sucessul applicant will lead the geospatial modeling framework development. The role includes 1) developing the feasibile framework based on the data availablity, preceived possiblity of model validation, and the usefulness for planning water reuse; 2) write a summary report for the framework. In general, this is a highly demanding project that will require the sucessful applicant to lead this project with critical thinking.
Skills required: The succesful applicant will require the use of ArcGIS or QGIS, python for data processing and model development, and good programming experience. In general, the sucessful applicant should have a background in environmental engineering, water resource management, and a solid understanding of urban water and wastewater infrastructure system.
15. Urban Water Reuse Tech-Economic Database Development
This project aims to develop a comprehensive database that quantifies the technical and economic performance of water treatment technologies at the unit-process level (e.g., nanofiltration, disinfection) for water reuse applications. The database will capture key performance indicators such as chemical oxygen demand (COD) removal, total nitrogen (TN) removal, and other critical water quality parameters, alongside energy consumption and chemical usage for each treatment process. By integrating and analyzing these metrics, the database will provide up-to-date, evidence-based assessments of water reuse technologies to support informed decision-making and sustainable water management.
Research area, student roles & skills
Research area: The Sustainable Infrastructure Group in the Department of Civil and Enviornmental Engineering at the University of Waterloo works on the topic of urban infrastructure resilience by advancing modeling tehchiques to exmain the behavior of urban critical infrastructure against climate extreme events. Our research methods include soical computing (synthetic population + behaviour modeling), infrastructure system benchmarking, and emerging enerigneering solution studies.
Student roles: The sucessful applicant will take the lead of developing this database with the support from our group. This purpose of such leadership is to develop their interest in studying this critical area. In addition, the role will help develop critical thinking to prepare for independent research.
Skills required: The sucessful applicant should have a background of environmental engineering, and took courese about water and wastewater treatment processes. In addition, the sucessful applicaticant should have a good skill of excel and data collection from literature to build the database.
16. Étude du comportement thermo-hydro-mécanique de cellules expérimentales représentatives de systèmes de recouvrement avec géomembranes
Supervisor: Faneva Rarison
University: Université du Québec en Abitibi–Temiscamingue (Rouyn-Noranda campus)
Les systèmes de recouvrement imperméables intégrant des géomembranes sont de plus en plus utilisés par l’industrie minière pour la restauration des sites. Depuis le début des années 2000, au moins sept sites miniers ont été restaurés à l’aide de ce type de recouvrement, et leur utilisation est appelée à croître dans les projets futurs. Malgré cet engouement, aucune méthodologie d’instrumentation standardisée ne permet actuellement d’assurer un suivi fiable et à long terme de la performance de ces systèmes.
Dans cette optique, des cellules expérimentales ont été construites en 2021 afin de mettre en place et d’évaluer différentes configurations d’instrumentation représentatives. Ces cellules sont équipées de capteurs permettant de mesurer les profils de température et de teneur en eau volumique au-dessus de la géomembrane. Des systèmes de coupons ont également été intégrés afin d’évaluer l’état des contraintes dans la géomembrane. En complément, des piézomètres à corde vibrante ont été installés pour mesurer la charge hydraulique susceptible de s’accumuler au-dessus de la géomembrane.
Le projet de stage consiste à compiler et à structurer les données acquises par les différentes stations de mesure sur une période de cinq ans, soit de l’automne 2021 à l’automne 2026 et d’en effectuer l’analyse.
Research area, student roles & skills
Research area: Nos travaux de recherche s’inscrivent dans le domaine de l’environnement minier, plus particulièrement dans l’évaluation de la performance des systèmes de recouvrement imperméables intégrant des géomembranes. Ces systèmes sont conçus pour limiter les flux d’eau et d’oxygène, contribuant ainsi au contrôle de la génération de drainage minier acide (DMA). Toutefois, il n’existe pas encore de méthodologie standardisée permettant d’assurer un suivi adéquat, notamment à long terme. Dans ce contexte, nos travaux visent à développer et à optimiser des stratégies d’instrumentation innovantes pour mieux quantifier les indicateurs de performance de ces systèmes.
Student roles: Au cours du stage, la personne étudiante sera responsable de la gestion et de l’analyse des données issues des cellules expérimentales, couvrant une période de cinq ans, de septembre 2021 à septembre 2026. Elle devra assurer la compilation, la validation et la structuration des données provenant des différentes stations de mesure, en veillant à leur qualité et à leur cohérence. La personne stagiaire participera également à l’étalonnage des instruments de mesure, notamment des sondes utilisées pour le suivi de la température et de la teneur en eau. Une attention particulière sera accordée à l’analyse critique des données recueillies, dans le but d’identifier les tendances, les anomalies et les relations entre les paramètres mesurés.
Skills required: La personne candidate doit posséder un intérêt marqué pour le domaine minier, avec une sensibilité particulière aux enjeux environnementaux et à la restauration des sites miniers. Elle doit démontrer de solides aptitudes en analyse et en traitement de données. Une bonne capacité de synthèse et de rigueur scientifique est essentielle.