The University of Calgary's Human Performance Laboratory, Faculty of Kinesiology, is seeking a Postdoctoral Fellow in Biomechanics. The position, with a one-year duration and possibility of renewal, offers a salary of $55,000 CAD per year plus health insurance benefits. The role involves providing biomechanical, technical, engineering, and mathematical support for industry and academic research projects, as well as mentoring students. The successful candidate will hold a PhD in Biomechanics, Mathematics, Physics, Engineering, or related fields, with expertise in neural networks, pattern recognition, machine learning, and experience with Inertial Measurement Units and algorithm development. Applications are reviewed immediately until the position is filled, with a start date of October 2026. Priority is given to Canadian citizens and permanent residents, though others are encouraged to apply.
| Department | Human Performance Laboratory, Faculty of Kinesiology |
| Position Type | Postdoctoral Fellow |
| Discipline | Biomechanics |
| Research Area | Biomechanics, Mathematics, Physics, Engineering |
| Degree Required | PhD |
| Experience | Expertise in neural networks, pattern recognition, machine learning, and experience with Inertial Measurement Units and algorithm development. |
| Salary | $55,000 CAD per year plus Alberta Blue Cross Plan C Health Insurance benefits |
| Contract Duration | One year, with possibility of renewal |
| Required Documents | Letter of interest including date of availability, suitability, motivation, and a brief summary of past, current, and future research interests and accomplishments, Current curriculum vitae (CV), Official or unofficial copy of diploma(s) and university certificate(s), Copy of two recent peer-reviewed journal chapter publications or conference presentations, Name and contact information, including email addresses, of at least two referees |
| Employer Address | University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, CANADA |
| Employer Contact | Office of Institutional Commitments: [email protected]; People & Culture: [email protected] |
This position is suitable for individuals holding a PhD in Biomechanics, Mathematics, Physics, Engineering, or related fields, who possess expertise in neural networks, pattern recognition, machine learning, and experience with Inertial Measurement Units and algorithm development. Candidates should be adept at time management, adapting to changes, and learning new technologies. Priority will be given to Canadian citizens and permanent residents, but all qualified applicants are encouraged to apply.
The University of Calgary is an entrepreneurial university, founded in 1966, located in Calgary, Canada. It is a top research university with 36,000 students, offering an innovative learning environment with a focus on research, hands-on experiences, and entrepreneurial thinking. It is recognized as a leader in creating start-ups. The Human Performance Laboratory, Faculty of Kinesiology, is part of the university and works with BSHR Biomechanigg Sport & Health Research Inc., aiming to be a global leader in research related to movement, exercise, and sport.
The position has a duration of one year, with the possibility of renewal.
The annual salary is $55,000 CAD, plus Alberta Blue Cross Plan C Health Insurance benefits.
A PhD specialization in Biomechanics, Mathematics, Physics, Engineering, or related fields is required, along with expertise in neural networks, pattern recognition, machine learning, and experience with Inertial Measurement Units and algorithm development.
Review of applications will begin immediately and continue until the position is filled.
In accordance with Canadian Immigration requirements, priority will be given to Canadian citizens and permanent residents of Canada, although others are encouraged to apply.
Applicants must submit a letter of interest, a current CV, official or unofficial copies of diplomas/certificates, copies of two recent peer-reviewed publications or conference presentations, and the names and contact information of at least two referees.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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