Position: Postdoctoral Fellow
Site: KITE – Toronto Rehab Research Institute
Department: Research
Reports to: Principle Investigator
Hours: 37.5 hours per week
Status: Temporary full time (1 year)
University Health Network (UHN) is looking for an experienced professional to fill the key role of Postdoctoral Fellow in our Research Department.
The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,600 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.
University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN’s seven research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health. Find out about our purpose, values and principles here.
We have an exciting opportunity for a post-doctoral fellow to work on applying computer vision techniques in human body tracking and medical diagnosis. You will join a leading multi-disciplinary research team centred at the Kite Research Institute | Toronto Rehab, part of the University Health Network and affiliated with the University of Toronto. You will be working with (collecting, analysing) real data, from real patients, and solving real-life healthcare problems.
Specific responsibility include: observership in the clinic, designing and preparing research protocol and REB documents; developing and implementing data collection protocols; data collection and data cleaning; and the development, evaluation, and clinical validation of computer vision and machine learning capable of analysing human body movements and producing clinically valid diagnoses.
Qualifications:
- PhD degree obtained within the last five (5) years or MD within the last ten (10) years in a related field
- A solid research and publication record. Publications related to applications of hands on movement/pose tracking in health care are preferred
- Excellent programming and systems integration capacities
- Experience applying deep learning models
- Transdisciplinary research experience (healthcare & AI) and/or publications is engineering/computer science and clinical values is an asset
- Excellent organizational and analytical skills, along with a high degree of independence and flexibility to thrive in a novel and rapidly evolving research environment.
- Ability to communicate and work effectively with a diverse team of clinicians and scientists, including post-docs, students, and technicians.
Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.
More information and apply here.