[Imageworld] Computer Vision in Rehabilitation - Scientist position

[Alex Mihailidis]

The Toronto Rehabilitation Institute (TRI) and the University of Toronto welcome applications for a Scientist in Computer Vision and Machine Learning in Rehabilitation.
Toronto Rehabilitation Institute (TRI) is Canada's largest rehabilitation hospital and is one of 4 major teaching hospitals that comprise the University Health Network.  Research at TRI has grown quickly to the point where we now have about 30 principal investigators supervising 200 graduate students and post-doctoral fellows. Our research focuses on 3 broad areas: 1) preventing injury and illness, 2) restoring function in people after acute health incidents and 3) enabling older people to continue to live in their own homes. We are an extraordinarily multidisciplinary environment with about one third of our faculty and grad students affiliated with engineering or computer science departments and one half with clinical departments.
We are looking for applicants with strong publication records and who have demonstrated a commitment to knowledge translation and/or commercialization of the results of their research. This appointment will be a 5- year contract that may be renewed depending on achievements and the availability of continuingfunds.
Computer Vision and Machine Learning in Rehabilitation (Assistant Professor level)
The AI & Robotics in Rehab Team focuses on cutting edge technologies and computer techniques, particularly in computer vision and machine learning, that can help people with neurological and mobility disorders live more independently. The successful candidate will develop a novel research program in the theoretical and applied aspects of computer vision and machine learning in the rehabilitation context.  This program will include the development of stand-alone and networked software systems for autonomous devices that compensate for physical, sensory, and cognitive deficits.  Potential areas of research include, but are not limited to real-time human pose tracking system, development of algorithms for biometric analysis from video input, and the application of 2D and 3D computer vision and machine learning approaches for new health and safety monitoring, assistive, and rehabilitation devices.  Post-doctoral experience within this field and experience in working with clinical populations is preferred.
The scientist will receive a cross-appointment (status only) to the Department of Computer Science at the University of Toronto and will be able to supervise graduate students in this program.
Please send your letter of application (which includes a statement of research interests and the names of three referees)accompanied by your CV  to Lois Ward, for consideration by the appropriate search committees before June 1, 2012.
Lois Ward, Manager, Research Operations, Toronto Rehabilitation Institute-UHN, 550 University Avenue, Room 12-171, Toronto ON M5G 2A2 ward.lois at torontorehab.on.ca<mailto:ward.lois at torontorehab.on.ca>




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Alex Mihailidis, Ph.D P.Eng.

Barbara G. Stymiest Research Chair in
Rehabilitation Technology
Toronto Rehab Institute-UHN / University of Toronto

Associate Professor
Dept. of Occupational Science &
Occupational Therapy /
Institute of Biomaterials & Biomedical Engineering
University of Toronto

(416) 946-8565
www.iatsl.org

Follow our research on Twitter:  twitter.com/iatsl
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