Student Research Opportunities
There are many opportunities for students to get involved with the groundbreaking research conducted by over 50 research groups at MIE.
Undergraduate Mechanical Engineering or Industrial Engineering students interested in working with research groups or pursuing a thesis project may:
- browse research opportunities in the table below, including thesis projects.
- contact faculty members directly to inquire about research opportunities or potential thesis project supervision.
Master of Engineering (MEng) students interested in pursuing an MEng project may:
- browse available MEng projects in the table below.
- contact faculty members directly to inquire about research opportunities or potential thesis project supervision.
Master of Applied Science (MASc) and PhD students conduct research with the support of their supervisor.
Interested postdoctoral candidates can explore the Postdoctoral Fellows Portal or browse open positions on our Careers page.
Prospective graduate students interested in getting involved in research at MIE should review our Programs Overview page.
Date Added | Title | Contact | Research Area |
---|---|---|---|
Spring/Summer/Fall 2025 | Physician-Centered Clinical Assistance System using Large Language Model (NLP field) | Please submit CV, unofficial transcript, and a single paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (lwang71@central.uh.edu). | Data science, machine learning, artificial intelligence, healthcare, medical research. |
Spring/Summer/Fall 2025 | Human-Centered Multi-Source Data Learning on Ageing Neuroscience (Computer vision/Image processing field) | Please submit CV, unofficial transcript, and a single paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (lwang71@central.uh.edu). | Data science, machine learning, artificial intelligence, healthcare, medical research. |
Spring/Summer/Fall 2025 | Human-Centered Data Science – Trustworthy AI in Healthcare and Medical Research (Tabular health data concentration) | Please submit CV, unofficial transcript, and a single paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (lwang71@central.uh.edu). | Data science, machine learning, artificial intelligence, healthcare, medical research. |
Spring/Summer 2025 | Development of Layered Polymer Nanocomposite with Graded Cellular Structures for Absorption Dominated EMI Shielding | Please submit your CV and a single paragraph describing your interest in the project in one file within a single email to Prof. Chul Park (park@mie.utoronto.ca) and Dr. Meysam Salari (meysam.salari@mail.utoronto.ca). | Thermofluids & Materials |
Winter/Spring 2025 | Multidisciplinary Design Optimization Methods towards Engineering Applications | Interested applicants are encouraged to send a Cover Letter and a Resume to Prof. Kamran Behdinan (kamran.behdinan@utoronto.ca). Shortlisted applicants will be interviewed. | Mechanics & Design |
Winter/Spring 2025 | Enhancing Extraction at the Muscle | Please submit CV, unofficial transcript and one paragraph describing your interest to Prof. Fatemeh Jazinizadeh (fatemeh.jazinizadeh@utoronto.ca) | Mechanical Engineering Design and Instrumentation |
Spring/Summer/Fall 2024 | Human-Centered Data Science – Trustworthy AI in Healthcare and Medical Research | Please submit CV, unofficial transcript, and a single paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (wanglu.wang@mail.utoronto.ca.) | Human Factors/Information Engineering |
Fall 2023/Winter 2024 | Conduct a Literature Review of Automation Failure Mechanisms Implemented in Human Factors Engineering Empirical Studies | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors/Ergonomics |
Fall 2023/Winter 2024 | Towards a person-centered approach of Remote Patient Monitoring | Please submit CV and transcript to to Prof. Myrtede Alfred (alfred@mie.utoronto.ca) | Human Factors |
Fall 2023/Winter 2024 | Incorporate equity considerations into serious safety event review processes | Please submit CV and transcript to to Prof. Myrtede Alfred (alfred@mie.utoronto.ca) | Human Factors |
Fall 2023/Winter 2024 | Designing a Tool for the Retrieval of Resin Liners from in-ground Nuclear Waste Storage Structures | Please submit CV, unofficial transcript and one paragraph describing your interest to Prof. Fatemeh Jazinizadeh (fatemeh.jazinizadeh@utoronto.ca) | Mechanical Engineering Design |
Fall 2023/Winter 2024 | Exploratory data analysis in a manufacturing system for energy consumption | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Promotion spending optimization in supply chain given counterfactual forecast and various constraints | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Machine learning approach to prediction of set up time in printing shop | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Machine learning approach to predicting taxi time to various checkpoints during departure of flight | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Machine learning approach to predicting runway assignment in airports considering congestion and weather conditions | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Machine learning approach to forecasting of counterfactual demands in supply chain | Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca) | Operations Research/Applied Machine Learning |
Fall 2023/Winter 2024 | Development and characterization of dust-repellent surfaces | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca) | Thermofluids, Mechanics and Materials |
Fall 2023/Winter 2024 | Effect of Driving Automation Systems on Driving Performance | Please submit CV, unofficial transcript, and a paragraph describing your qualification and interest to Prof. Birsen Donmez (donmez@mie.utoronto.ca) and Mark Wei (mwei@mie.utoronto.ca) | Human Factors, Transportation, Human-Automation Interaction |
Fall 2023/Winter 2024 | Developing digital twins for battery thermal management systems | Please, submit CV, unofficial transcripts, and one paragraph describing your interest in the project to Prof. Cristina Amon (cristina.amon@utoronto.ca) | Thermofluids |
Fall 2023/Winter 2024 | Predicting thermal runaway propagation in lithium-ion battery systems | Please, submit CV, unofficial transcripts, and one paragraph describing your interest in the project to Prof. Cristina Amon (cristina.amon@utoronto.ca) | Thermofluids |
Fall 2023/Winter 2024 | Combining modularity-based and Markov-based community detection algorithms to accurately and reliably cluster networked data | Please submit (in one pdf file) CV, unofficial transcript(s), one paragraph describing their interest in the project, one paragraph describing how they match the skills listed in the description of the project to Prof. Samin Aref (aref@mie.utoronto.ca) | Data Science, Machine Learning, Operations Research, Information Engineering |
Fall 2023/Winter 2024 | Deep Learning for Hyperspectral Image Analysis in Mineral Mining | Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Mariano Consens (consens@mie.utoronto.ca) | Deep Learning, Applied ML, Image Data Processing |
Fall 2023/Winter 2024 | Customizing LLMs for Graph Data Management tasks | Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Mariano Consens (consens@mie.utoronto.ca) | LLM Customization, Applied ML, Graph Data Management |
Fall 2023/Winter 2024 | Testing Chest Wall Deformations During Negative Pressure Ventilation | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca) | Mechanics & Design |
Fall 2023/Winter 2024 | Reducing Noise Emission in Aerospace Applications | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca) | Mechanics & Design |
Fall 2023/Winter 2024 | AI Based Design for 4D Printed Polymers | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca) | Mechanics & Design |
Fall 2023/Winter 2024 | A study on the formation of tornados. An experimental setup needs to be developed to form a lab scale tornado and use flow visualization to undestand the initial causes of formation of tornado. | Please submit CV, unofficial transcript, to Prof. Nasser Ashgriz (ashgriz@mie.utoronto.ca) | Thermofluids |
Fall 2023/Winter 2024 | Temperature dependence of advanced anti-icing materials | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca) | Thermofluids, Mechanics and Materials |
Fall 2023/Winter 2024 | Waterborne omniphobic coatings | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca) | Thermofluids, Mechanics and Materials |
Fall 2023/Winter 2024 | Photoelastic imaging for fibre fragmentation analysis | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca) | Thermofluids, Mechanics and Materials |
Fall 2023/Winter 2024 | High speed camera imaging of fibre fragmentation / fracture | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca) | Thermofluids, Mechanics and Materials |
Fall 2023/Winter 2024 | Automation of thermofluid measurement systems | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Dave Sinton (dave.sinton@utoronto.ca), and Dr. Amin Kazemi (amin.kazemi@utoronto.ca) | Thermofluids, Mechatronics |
Fall 2023/Winter 2024 | High-throughput screening of carbon capture solutions | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Dave Sinton (dave.sinton@utoronto.ca), and Dr. Amin Kazemi (amin.kazemi@utoronto.ca) | Thermofluids |
Fall 2023/Winter 2024 | Combining modularity-based and Markov-based community detection algorithms to accurately and reliably cluster networked data | Interested MEng students should send one email to Prof. Samin Aref (aref@mie.utoronto.ca) with the following documents combined into one pdf file: CV, unofficial transcript(s), one paragraph describing their interest in the project, one paragraph describing how they match the skills listed in the description of the project | Data Science, Machine Learning, Operations Research, Information Engineering |
Fall 2023/Winter 2024 | Intelligent Socially Assistive Robots for Vulnerable Populations | Please submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca) | Robotics, Deep Learning, Human-robot Interaction |
Fall 2023/Winter 2024 | Multi-robot Cooperation in Varying Environments | Please submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca) | Robotics, Deep Learning, Human-robot and robot-robot Interaction |
Fall 2023/Winter 2024 | Robots in the Wild - Intelligence for Real-World Environments | Please submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca) | AI, BIg Data, Robotics |
Fall 2023/Winter 2025 | Robotics and AI in Healthcare Settings | Please submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca) | Robotics, Deep Learning, Human-robot Interaction |
Fall 2023/Winter 2024 | Interface Engineering and Architecture Design of Li-Rich Layered Cathode for Cycle-Stable Li-Ion Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | Porous Silicon Nanowires for Lithium-Ion Battery Anodes with Long Cycle Life | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | 2D Graphitic Carbon (GC) as Cathode Host in Lithium Sulfur Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | MXene Based Sulfur Hosts in Lithium Sulfur Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | Roll to Roll Manufacturing of Advanced Hydrogen Fuel Cell Components | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | Photochemical Reactor Design and Validation for Stripping Mixed Macromolecules from Municipal Waste | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | Photocatalytic Reforming of Methanol in Hydrogen Production | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | 3D Printing Structural Battery Components for Electric Vehicles (EVs) | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Fall 2023/Winter 2024 | Non-Destructive Diffusion-wave Techniques and Imaging for Solar Cells and Clean Energy Conversion Optoelectronic Devices | Submit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description: Development of novel diffusion-wave imaging and other diagnostic techniques for industrial quality control of optoelectronic materials and devices, primarily silicon and quantum dot solar cells as well as substrate wafers under various device fabrication and processing phases. For more information, consult https://cadipt.mie.utoronto.ca | Materials |
Fall 2023/Winter 2024 | Dynamic Imaging of Solar Cell Optoelectronic Quality using a Near-Infrared Camera | Submit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description: We have developed a non-destructive imaging technique (solar cell lock-in carrierography) which monitors the optoelectronic quality of industrial silicon-based photovoltaic solar cells and aims to correlate the images with the electrical output and overall performance efficiency of the solar cell. A MEng student will be required to work with the research team in generating and analyzing carrierographic images in order to build the statistics of these optical-electrical correlations and relate images to quantitative measurements of the parameters responsible for the solar cell efficiency. | Materials |
Fall 2023/Winter 2024 | Near infrared blood oxygenation of biomaterials and tissues for disease diagnosis using differential wavelength modulated thermophotonic imaging | Submit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description:We are developing a new biomedical imaging modality to generate high sensitivity images of blood oxygenation under body circulating conditions so as to be able to monitor hypoxia in blood rich vessels and tissue sites as a hallmark of malignancy. A laser excitation source and an infrared camera will be used for the imaging. One or two MEng students will work with our Research Associate to help test and optimize the setup in anticipation of further research projects. | Materials |
Summer 2023/Fall 2023/Winter 2024 | Applying lead-user methods to identify and overcome obstacles to pro-social, pro-health, and/or pro-environmnetal behavior (please specify if you have a specfic behavior in mind) | Please email to Prof. Li Shu (shu@mie.utoronto.ca) a single pdf file containing the following: CV, unofficial transcript, and one paragraph describing your interest and skills for the project. Please name the file as follows: Shulab_MEng_ | Human Factors & Ergonomics |
Fall 2023/Winter2024 | Optimal Scheduling of Chemotherapy Services at Hamilton Health Sciences | Interested candidates should contact Prof. Vahid Sarhangian (sarhangian@mie.utoronto.ca). Please include CV and transcripts. | Operations Research, Applied Machine Learning |
Fall 2023 / Winter 2024 | Design and fabrication of optical strain and vibration sensors encased in 3D printed enclosures | Requires expertise in electronics and FDM printing, and familiarity with fiber optics. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca) | Materials & Design |
Fall 2023 / Winter 2024 | Exploring gait anomalies in response to environmental perturbations | Requires familiarity with gait biomechanics and analysis. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca) | Robotics, Data Analytics |
Fall 2023 / Winter 2024 | Qualitative and quantitative analyses of the adoption of structural health monitoring technologies by civil engineering professionals | Will involve extracting data from large audio/video files and surveys. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca) | Data Analytics |
Fall 2023 / Winter 2024 | Miniaturizing a data acquisition system for smart materials | Requires extensive expertise in electronics and programming. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca) | Robotics |
Fall 2023 / Winter 2024 | Design and fabrication of a smart prosthetic component | Looking for a candidate who has experience with product design and materials science. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca) | Materials & Design |
Fall 2023 / Winter 2024 | Numerical Investigation of Solid-State Ceramic Film fabrication via Aerosol Deposition Method for Advanced Surface Engineering Applications | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca) | Thermofluids |
Fall 2023 / Winter 2024 | Numerical Modeling of Cold Spray Technology for Metal 3D Printing and Additive Manufacturing | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca) | Thermofluids |
Fall 2023 / Winter 2024 | Developing a control system for automated preparation of solutions as feedstock to the Solution Precursor Plasma Spray (SPPS) process | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca) | Thermofluids, Mechatronics |
Fall 2023/Winter 2024 | Testing Social Psychology Hypotheses with Social Media Data (in particular, can patterns in Honor Culture (Nisbett, Culture of Honor (1996)) be showing in social media data? | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Requirements: willingness and/or ability to learn to scrape and to work with LLMs. Interest in computational methods in sociology, and interest in psychology. | Machine Learning, Data Science |
Fall 2023/Winter 2024 | How expressive are RNNs for expressing the physiological processes a patient is undergoing in the ICU? For example, can RNNs model drug-drug interaction well? (Yes). Can RNNs model a deteriorating patient due to infection (maybe) | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Machine Learning |
Fall 2023/Winter 2024 | What makes it that Go is more difficult for a computer to win against a human than Chess? Investigate existing approaches to find out | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Machine Learning |
Fall 2023/Winter 2024 | What makes a piece of Music/Literatue/Board game playing brilliant? A machine-learning approach | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Machine Learning |
Fall 2023/Winter 2024 | Grounding AI Ethics in Philosophy. AI Ethics is often taught from the perspective of Kant and Mill. Bentham is often taught, but frequently not mentioned by name. Plato actually has a lot to say on the subject, but is entirely absent. Ruha Benjamin is often mentioned, but not in the sam category. In this project, we'll read philosophers beyond Kant, Mill, and Bentham to situate the conversation about AI Ethics in a richer philosophical tradition that it's usuall situated in. | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. The statement of interest should contain a brief discussion of two academic philosophers (not necessarily ethicists; for the prupose of this question, an "academic philosopher" is someone who works at a university as a philosopher, or someone whose work is widely studied by philosohers working at universities) whose works you've read and enjoyed. What did you like about their works? You shouls also have a solid background in probability and statistics. | Engineering ethics |
Fall 2023/Winter 2024 | Data Mining Social Media for early novel disease identification (e.g., idenify "long covid" before the name "long covid" existed form social media data | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Machine Learning, Data Science |
Fall 2023/Winter 2024 | Propose your own project in Machine Learning/Computer Vision/Data Science for Healthcare | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Machine Learning, Data Science |
Fall 2023/Winter 2024 | Optimizing the Microstructure of Bioplastic PLA with Lignocellulosic Biobased Nanofibrils | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Transforming Polymer Waste into High-Value Carbon Products and Composites: A_x000D_ Sustainable Solution | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Subcutaneous Vein Detection and Mapping for Home Hemodialysis Self-cannulation | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Deep Learning for Automated Software Engineering | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca) | Deep Learning, Natural Language Processing |
Fall 2023/Winter 2024 | Pre-Trained Transformer Models for Text Analysis in Various Applications | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca) | Applied Machine Learning, Natural Language Processing |
Fall 2023/Winter 2024 | Interpretable Machine Learning using Mathematical Optimization | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca) | Machine Learning, Operations Research |
Fall 2023/Winter 2024 | Equity centered human-centered design studies | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Enid Montague (enid.montague@utoronto.ca) | Human Factors & Ergonomics, Artificial Intelligence, Healthcare |
Fall 2023/Winter 2024 | Human-centered automation and human-AI teams in healthcare (projects in family medicine, organ transplant and heart failure) | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Enid Montague (enid.montague@utoronto.ca) | Human Factors & Ergonomics, Artificial Intelligence, Healthcare |
Fall 2023/Winter 2024 | Bio-inspired Ultra-Strong and Tough Hybrid Composites via Micro-structuring | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Polymer Microstructure Design and Foaming Optimization via Machine Learning | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Machine Learning, Data Science |
Fall 2023/Winter 2024 | Micro-structuring of Artificial Nacre Structure via Laser induced Graphene | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Highly Strechable and Self-Healable Organic Semiconductors for Health Monitoring Wearable Sensor | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Lightweighting of Elastomeric Polymers for Flexible Foam Applications | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Fabricating Hierarchically Structured Carbon Aerogels from Sustainable Biomaterials | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Conductive polymer composites for electromagnetic interference (EMI) shielding application | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Highly Efficient Passive Cooling Structures via Micro-layering | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Enhanced Piezoelectric Response Sensors via Micro-layering | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Case-Control Analysis of Paramedic Trips: Investigating Ambulance Vehicle Collisions and Paramedic Workplace Conditions | Please submit CV, and a single paragraph describing your interest in one file to Prof. Birsen Donmez (donmez@mie.utoronto.ca) and Milad Delavary (mddelava@mie.utoronto.ca) | Human Factors & Ergonomics, Transportation, Data Science |
Fall 2023/Winter 2024 | Deep insight into reverse osmosis membrane compaction and characterization using microscopy imaging techniques | Please submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca) | Advanced Manufacturing, Materials |
Fall 2023/Winter 2024 | Climate change impacts on asset management strategies | Please submit CV and one paragraph describing your interest in the project to Prof. Janet Lam (janet@mie.utoronto.ca) | Operations Research |
Fall 2023/Winter 2024 | Research and data collection methods for education research | Please submit CV and one paragraph describing your interest in the project to Prof. Janet Lam (janet@mie.utoronto.ca) | Engineering education |
Fall 2023/Winter 2024 | Work on a framework to automatically "localize" the SIGSOFT Empirical Standards https://acmsigsoft.github.io/EmpiricalStandards/docs/ to different areas of computer science (or potentially other fields). The work would involve theoretical analysis of empirical methods, with a particular emphasis on quantitative methods, as well as the development of a web framework that would allow end-users to automatically generate their own versions of the document and link those versions to conference/journal management software. This would be a collaboration with Michael Guerzhoy (MIE/EngSci) and Paul Ralph (Dalhousie). The student needs a solid background in empirical methods, and interest in working on the Empirical Standards framework, and a willingness/ability to work on building a software framework. | Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. | Research methods, web programming |
Fall 2023/Winter 2024 | Optimization and Prototyping of a Passive Irrigation Controller for Low-Income Farmers | Please submit a CV, unofficial transcript, and statement of interest to Amy Bilton (bilton@mie.utoronto.ca). | Solid Mechanics, Design, Fluid Mechanics |
Fall 2023/Winter 2024 | Understanding the Environmental Impact of Oil Spill Remediation | Please submit a CV, unofficial transcript, and statement of interest to Amy Bilton (bilton@mie.utoronto.ca). | Solid Mechanics, Design, Fluid Mechanics |
Summer 2023 | Materials for Energy Storage and Conversion - Various projects dealing with materials-processing-microstructure-property relationships for component designs to be used in clean energy applications. Contact Instructor for more details | Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Olivera Kesler (kesler@mie.utoronto.ca) | Mechanics and Materials, Advanced Manufacturing |
Summer 2023 | Solid oxide fuel cells, high-efficiency electrolysis, oxygen separation membranes, clean energy - Contact Instructor for more details | Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Olivera Kesler (kesler@mie.utoronto.ca) | Mechanics and Materials, Advanced Manufacturing |
Summer 2023 | Design and fabrication of 3D-printed interconnects and manifolds for open microfluidic devices | Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca) | Mechanics and Materials |
Summer 2023 | Advanced manufacturing and novel materials for biomicrofluidic and organ-on-a-chip systems | Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca) | Mechanics and Materials |
Summer 2023 | Design considerations for multi-organ microphysiological systems | Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca) | Mechanics and Materials |
Summer 2023 | Interface Engineering and Architecture Design of Li-Rich Layered Cathode for Cycle-Stable Li-Ion Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Summer 2023 | Porous Silicon Nanowires for Lithium-Ion Battery Anodes with Long Cycle Life | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Summer 2023 | 2D Graphitic Carbon (GC) as Cathode Host in Lithium Sulfur Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Summer 2023 | MXene Based Sulfur Hosts in Lithium Sulfur Batteries | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Summer 2023 - 2 positions | 3D Printing Structural Battery Components for Electric Vehicles (EVs) | Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca) | Advanced Manufacturing, Mechanics and Materials |
Summer 2023 | Additive Manufacturing Next Generation Polymeric Materials | Interested candidates should immediately contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information. | Materials, Mechanics & Design, Robotics |
Summer 2023 | Development of Polymer Composite Systems with Enhanced Dynamic Properties at Elevated Temperatures | Interested candidates should immediately contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information. | Materials, Mechanics & Design, Robotics |
Summer 2023 | Lattice Boltzmann modeling of drop evaporation on a glass surface | Interested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca) | Thermofluids |
Summer 2023 | Lattice Boltzmann modeling of water near an interface | Interested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca) | Thermofluids |
Summer 2023 | Manufacture and testing of high pressure sensor for industrial processes | Interested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca) | Thermofluids |
Summer 2023 | CFD modeling of inclined synthetic jet analysis using COMSOL | Interested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca) | Thermofluids |
Summer 2023 | AI for particle image velocimetry analysis | Interested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca) | Thermofluids |
Summer 2023/Fall 2023/Winter 2024 | Development of Automation Failure Scenarios in a Laboratory Microworld | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors & Ergonomics |
Summer 2023/Fall 2023/Winter 2024 | Contribute to a Systematic Review and Meta-analysis of Human Performance Responses to Automation Failure | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors & Ergonomics |
Summer 2023/Fall 2023/Winter 2024 | Validation of the Response Integration across Measures & Experiments (RIME) Table | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors & Ergonomics |
Summer 2023/Fall 2023/Winter 2024 | Development and Deployment of a Small Modular Reactor facility Simulator | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors & Ergonomics |
Summer 2023/Fall 2023/Winter 2024 | Contribute to a Systematic Review and Meta-analysis of Automation Transparency Interventions | Interested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca) | Human Factors & Ergonomics |
Summer 2023/Fall 2023 | IMICS Lab Operations Research | Interested students should contact Farzad Khalvati (farzad.khalvati@utoronto.ca) | Deep Learning, Natural Language Processing, Medical Image Analysis, Precision Medicine |
Summer 2023/Fall 2023 | IMICS Lab AI in Medicine | Interested students should contact Farzad Khalvati (farzad.khalvati@utoronto.ca) | Deep Learning, Natural Language Processing, Medical Image Analysis, Precision Medicine |
Summer 2023/Fall 2023 | Human-Centered Data Science in Healthcare and Medical Research | Please submit CV, unofficial transcript, and one paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (wanglu.wang@mail.utoronto.ca) | Data Science, Machine Learning, Artificial Intelligence, Healthcare, Medical Research |
Summer 2023/Fall 2023 | Testing Chest Wall Deformations During Negative Pressure Ventilation | Please submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023. | Mechanics & Design |
Summer 2023/Fall 2023 | Reducing Noise Emission in Aerospace Applications | Please submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023. | Mechanics & Design |
Summer 2023/Fall 2023 | AI Based Design for 4D Printed Polymers | Please submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023. | Mechanics & Design |
Summer 2023/Fall 2023 | Additive Manufacturing of Composite Biomaterials | Interested students should contact Professor Axel Guenther (axel.guenther@utoronto.ca) | Bioprinting, 3D printing, material optimization, bioengineering |
Summer 2023/Fall 2023 | Multi-Nozzle Printhead for Consistent, Rapid In-Situ Delivery of Bioinks with a Handheld Bioprinter | Interested students should contact Professor Axel Guenther (axel.guenther@utoronto.ca) | Bioprinting, 3D printing, material optimization, bioengineering |
Spring 2023 | Electronics and Embedded Systems Development for Smart Wearable Medical Devices | Interested candidates should contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information. | Materials, Mechanics & Design, Robotics |
Winter 2023 | Investigating Driver Interaction with Automated Vehicles | Interested students should contact Prof. Birsen Donmez (donmez@mie.utoronto.ca) or Chelsea DeGuzman (deguzman@mie.utoronto.ca) by January 31, 2023. Required qualifications: • Valid driver’s license • Strong written and oral communication skills | Human Factors |
Winter 2023 | ICU-ROOM | Interested MEng students should forward their CV's to Professor Myrtede Alfred: alfred@mie.utoronto.ca The student should be proficient in AutoCAD. A Human Factors background and experience with Unity (development platform) is preferred but not required. Application Deadline is January 9, 2023 | Human Factors |
Winter 2023 | Identifying-Barriers-to-Utilization-of-Professional-Interpretation-Services | Interested MEng students should forward their CV's to Professor Myrtede Alfred: alfred@mie.utoronto.ca A Human Factors background is preferred but not required. Application Deadline is January 9, 2023 | Human Factors |