Post-Doctoral Fellow in Computer Vision in Biomechanics

  • Company:
    Sunnybrook Health Sciences
  • Location:
  • Salary:
    negotiable / monthly
  • Job type:
    Full-Time
  • Posted:
    1 week ago
  • Category:
    IT & Software

Post-Doctoral Fellow in Computer Vision in Biomechanics
Posted: 06/21/2018 4:27:43 PM
Job title:
Post-Doctoral Fellow in Computer Vision in Biomechanics
Job description:
The Orthopaedic Biomechanics Laboratory (OBL), in the Physical Sciences Platform at Sunnybrook Research Institute (SRI), directed by Dr Cari Whyne, is a clinically translational bioengineering research environment aimed at maximizing function among those who develop musculoskeletal disease or disability. Our research is concentrated in the areas of experimental and computational biomechanics, including technology development in image guided analysis and surgical planning, functional assessment and device development. The OBL is located onsite at the SRI, Bayview campus of Sunnybrook Health Sciences Centre in Toronto providing access to state of the art research and clinical facilities. SRI has a proven track record of successful translational research, bringing new technology into the clinic through robust evaluation to commercialization via corporate partners and new startup companies.
We are seeking to hire an individual to develop and evaluate computer vision technology for assessment of anterior cruciate ligament injury risk and return to sport readiness. The project aims to develop tools for assessment of functional tasks during athletic training, and the clinical decision-making process; and will involve exposure to cutting edge methods in deep learning. Responsibilities will include: data collection, analysis, developing novel algorithms, software development, deriving biomechanical metrics, and comparing different algorithmic and sensor approaches. Data collection will be done with multiple simultaneously acquiring sensors (IMUs, 3D Cameras, monocular video, and Vicon marker-based stereo tracking) while varsity athletes perform functional tasks. This data will be used to train computer vision algorithms to evaluate specific motion related to risk and rehabilitation progress.
This is an exciting opportunity to contribute to the promising area of computer vision in medicine. This project is interdisciplinary, involving biomedical engineers, rehabilitation specialists and orthopaedic surgeons in collaboration with a Toronto-based computer vision start-up company.
Requirements:
PhD in Engineering, Computer Science, or closely related discipline
Solid programming experience in Python (computer vision and data analysis are a plus)
Statistical analysis (R, Python, SAS, etc.)
Excellent written and oral communication
Demonstrated track record of success in research and development
Experience in the following would be advantageous:
Lower extremity biomechanics
Measurement science
Rehabilitation
Machine learning
The successful candidate will have a high level of academic ability and be able to understand, interpret, assimilate and apply technical information quickly. Candidates will be considered at various levels of training with demonstrated expertise and experience, 1-year commitment is required.
How to Apply / Contact:
Qualified candidates are invited to submit their CV along with a cover letter and contact information of three references to
:
michael.hardisty@sunnybrook.ca
Website:
http://sunnybrook.ca/research/content/?page=sri-groups-obl-about
We thank all applicants for their interest but only candidates selected for an interview will be contacted.
Sunnybrook Research Institute is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.
Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, LGBTQ persons, and all others who may contribute to the further diversification of ideas.
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