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The IDEA Lab (Dr. Milad Nazarahari) and the NCBLab (Dr. Albert Vette) at the University of Alberta invite applications for a two-year Postdoctoral Fellowship focused on developing computer vision solutions for human motion tracking. This position offers a unique opportunity to work at the intersection of Biomedical Engineering and Computer Science, advancing cutting-edge AI-driven technologies with direct clinical and sports applications.
Funding: Positions are funded for two years in the Mechanical Engineering Department.
Project Description: The successful candidate will contribute to developing a validated, smartphone- and webcam-based system for human movement analysis. Our partnership leverages the complementary expertise of two innovative research groups committed to practical, translational outcomes.
Research Environment: Both the IDEA Lab and the NCBLab foster an equitable, diverse, inclusive, and collaborative atmosphere. We strongly encourage candidates from underrepresented and disadvantaged groups to apply. The successful candidate will benefit from interdisciplinary mentorship, access to cutting-edge facilities, and collaboration within a dynamic team of researchers and clinicians.
Required qualifications:
Preferred Qualifications (these are assets):
Salary and Benefits: A competitive salary and benefits package will be offered, commensurate with experience and qualifications. Details will be discussed with the shortlisted candidates.
How To Apply: Please send the following documents as a single PDF file to nazaraha@ualberta.ca with the subject line: “Prospective PDF Candidate - Markerless Human Pose Tracking - [Your Full Name].”
Funding: Positions are funded for two years in the Mechanical Engineering Department.
Project Description: The successful candidate will contribute to developing a validated, smartphone- and webcam-based system for human movement analysis. Our partnership leverages the complementary expertise of two innovative research groups committed to practical, translational outcomes.
Research Environment: Both the IDEA Lab and the NCBLab foster an equitable, diverse, inclusive, and collaborative atmosphere. We strongly encourage candidates from underrepresented and disadvantaged groups to apply. The successful candidate will benefit from interdisciplinary mentorship, access to cutting-edge facilities, and collaboration within a dynamic team of researchers and clinicians.
Required qualifications:
- PhD in Biomedical, Mechanical, Electrical Engineering, Computer Science, or a related field.
- Demonstrated expertise in computer vision and deep learning-based methods for human pose estimation.
- Proficiency in Python programming and familiarity with MATLAB.
- Excellent written and verbal communication skills in English.
Preferred Qualifications (these are assets):
- Experience conducting human-participant experiments (protocol development and data collection).
- Hands-on experience with motion capture systems (marker-based systems, RGB and RGB-depth cameras).
- Working knowledge of advanced deep learning frameworks for pose tracking and related architectures.
Salary and Benefits: A competitive salary and benefits package will be offered, commensurate with experience and qualifications. Details will be discussed with the shortlisted candidates.
How To Apply: Please send the following documents as a single PDF file to nazaraha@ualberta.ca with the subject line: “Prospective PDF Candidate - Markerless Human Pose Tracking - [Your Full Name].”
- Required: Cover Letter (max 2 pages) summarizing research interests and relevant experiences.
- Required: Academic CV, including publications, details of research experience, and contact information for your PhD supervisor.
- Transcripts of prior degrees.
- For international applicants: English language test results (e.g., TOEFL, IELTS).