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We are seeking a full-time Postdoctoral Fellow to join the Spine and Movement Biomechanics Laboratory at the University of Ottawa in Ottawa, Canada. The successful candidate will be part of an inter-disciplinary team supervised by Dr. Ryan Graham that focuses on applying biomechanical and machine learning techniques to human movement.
This is a one-year Mitacs Elevate funded position with an option to extend for a second year ($60,000 CAD/year). Mitacs Elevate positions are joint academia-industry partnerships with an additional professional training portion valued at $7,500 CAD (https://www.mitacs.ca/en/programs/el...rogram-details).
The work carried out under this fellowship will be in collaboration with Ultimate Sensor Systems and Tekscan Inc. The successful candidate’s position will be to study, analyze, and optimize the accuracy and reliability of current and before-market wearable technologies. Additionally, the Fellow will explore the application of machine learning methods to identify and predict movement metrics and disability based on plantar pressure maps and other data streams (e.g. inertial sensors, accelerometers, etc).
Responsibilities
Qualifications
To apply, please send a statement of interest, updated CV, and names of potential referees to rgraham@uottawa.ca (1-613-562-5800 x 1025).
Starting Date: As soon as possible.
Application Deadline: Open until filled.
Note: International applicants are welcome, but priority will be given to Canadian Citizens and Permanent Residents.
This is a one-year Mitacs Elevate funded position with an option to extend for a second year ($60,000 CAD/year). Mitacs Elevate positions are joint academia-industry partnerships with an additional professional training portion valued at $7,500 CAD (https://www.mitacs.ca/en/programs/el...rogram-details).
The work carried out under this fellowship will be in collaboration with Ultimate Sensor Systems and Tekscan Inc. The successful candidate’s position will be to study, analyze, and optimize the accuracy and reliability of current and before-market wearable technologies. Additionally, the Fellow will explore the application of machine learning methods to identify and predict movement metrics and disability based on plantar pressure maps and other data streams (e.g. inertial sensors, accelerometers, etc).
Responsibilities
- Develop and carry out biomechanical research studies.
- Develop custom data analysis and machine learning programs in various programming languages (see below).
- Meet pre-determined deliverables in the form of reports, programming code, and presentations.
- Mentor junior members in the lab with their ongoing projects.
- Maintain open lines of communication with industry partner representatives.
- Complete required online and in-person Mitacs professional development training.
Qualifications
- PhD degree in biomechanics, motor control, computer science, engineering, or related discipline.
- Strong programming skills in Matlab, Python, and/or C++.
- Experience in machine learning and advanced data analytics.
- Experience with motion capture systems, wearable technology, and signal processing.
- Excellent English oral and written communication skills
- Record of peer-reviewed publications
- Experience with high-performance computing is an asset.
To apply, please send a statement of interest, updated CV, and names of potential referees to rgraham@uottawa.ca (1-613-562-5800 x 1025).
Starting Date: As soon as possible.
Application Deadline: Open until filled.
Note: International applicants are welcome, but priority will be given to Canadian Citizens and Permanent Residents.