Felix Chenier
5 months ago
Building a bridge between KTK and the OpenSim python module for musculoskeletal optimizations Université du Québec à Montréal in Canada
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
All projects are funded, with support from NSERC discovery grant and other sources. Funding covers stipend and research expenses; specific amounts are not mentioned. Projects are fully funded for eligible students.
Deadline
Expired
Country
Canada
University
Université de Montréal

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Where to contact
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About this position
The Mobility and Adaptive Systems Research Lab at Université du Québec à Montréal, led by Professor Felix Chenier, is recruiting Master's and PhD students for funded research projects in musculoskeletal modelling, biomechanics, and wheelchair propulsion. The lab develops open-source tools such as Kinetics Toolkit for biomechanical analysis using Python, and collaborates with the OpenSim module to enable batch musculoskeletal optimizations. Current projects include real-time calculation of joint loads during wheelchair propulsion, development of intuitive programming interfaces for musculoskeletal simulations, and dynamic modelling of wheelchair movement in complex environments using advanced simulation platforms. Candidates will work on integrating software tools, analyzing biomechanical data, and developing feedback systems to improve mobility and reduce injury risk.
Applicants should have a strong background in engineering, biomechanics, or computer science, with experience in Python programming and laboratory data collection. Funding is provided via NSERC and other sources, and positions are open for immediate start. Interested students should send their CV, transcripts, and cover letter to [email protected].
The lab values autonomy, motivation, and strong communication skills, and offers a collaborative environment for research in adaptive sports, mobility, and systems modelling.
Funding details
All projects are funded, with support from NSERC discovery grant and other sources. Funding covers stipend and research expenses; specific amounts are not mentioned. Projects are fully funded for eligible students.
What's required
For PhD: Master's degree in Biomechanics, Biomedical Engineering, Mechanical Engineering, or equivalent. For Master's: Bachelor's degree in Computer Engineering, Biomedical Engineering, Engineering, or related field. All candidates must have experience with Python programming, laboratory-based data collection (kinematic, kinetic, and/or EMG), or musculoskeletal models, strong autonomy in programming and debugging, high motivation, strong academic record, and solid oral and written communication skills. Experience with Simulink and/or Unity is preferred for dynamic modelling projects.
How to apply
Send your CV, transcripts, and a cover letter by email to [email protected]. Indicate your preferred project and degree level. Applications are reviewed on a rolling basis until positions are filled.
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