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I am currently recruiting graduate students (MSc, PhD) for positions within the Laboratory of Simulation and Movement Modelling (S2M) in the School of Kinesiology and Exercise Science in the Faculty of Medicine of the University of Montreal. The S2M brings together 3 professors as well as approximately 20 students in kinesiology, mechanical and biomedical engineering, physics, and computer science from across Canada and the world.
The current available positions are in the area of biomechanics under the supervision of Philippe C. Dixon. Dr. Dixon’s research focuses on the analysis of human movements, such as walking and running, using motion capture systems and inertial measurement units in order to improve the health and mobility of populations with musculoskeletal disorders. He is also very active in the application of machine learning techniques for the detection and prediction of events and physiological states as well as in the development of open-source software tools.
I welcome applications from individuals with backgrounds in either human movement science or engineering. Candidates should possess experience in gait analysis using motion capture or inertial measurement units and have a working knowledge of programming in Matlab or Python. Knowledge of machine learning and a history of publication in peer-reviewed journals is an asset, especially at the PhD level.
Students can apply for M.Sc. or PhD in kinesiology or biomedical engineering at the University of Montréal, depending on their profile and background.
The S2M laboratory supports the Université de Montréal's policy on equity for recruitment, particularly for women, people with disabilities, and racialized individual.
If you are interested in applying for this position, please complete the google survey at the following link : https://forms.gle/nUXMEjPNcNVvZaHS9
Only short-listed candidates will be contacted.
The current available positions are in the area of biomechanics under the supervision of Philippe C. Dixon. Dr. Dixon’s research focuses on the analysis of human movements, such as walking and running, using motion capture systems and inertial measurement units in order to improve the health and mobility of populations with musculoskeletal disorders. He is also very active in the application of machine learning techniques for the detection and prediction of events and physiological states as well as in the development of open-source software tools.
I welcome applications from individuals with backgrounds in either human movement science or engineering. Candidates should possess experience in gait analysis using motion capture or inertial measurement units and have a working knowledge of programming in Matlab or Python. Knowledge of machine learning and a history of publication in peer-reviewed journals is an asset, especially at the PhD level.
Students can apply for M.Sc. or PhD in kinesiology or biomedical engineering at the University of Montréal, depending on their profile and background.
The S2M laboratory supports the Université de Montréal's policy on equity for recruitment, particularly for women, people with disabilities, and racialized individual.
If you are interested in applying for this position, please complete the google survey at the following link : https://forms.gle/nUXMEjPNcNVvZaHS9
Only short-listed candidates will be contacted.