Keywords: Face Detection / Tracking, Health Monitoring
We have an opening for a research associate or post-doctoral fellow to work on computer vision, signal processing, and video analysis algorithms for applications health monitoring. You will join a leading multi-disciplinary research team centred at the Toronto Rehabilitation Institute, part of the University Health Network and affiliated with the University of Toronto. Toronto Rehab is the largest rehabilitation hospital in Canada and is the number one rehabilitation research center in the world.
Multi-disciplinary work experience is a plus, but this could also be an ideal position for a hands-on recent graduate who wants to apply her/his knowledge to solve practical problems in healthcare. You will be working with real data, from real patients, and solving real-life problems. The main task will be to evaluate various face detection, facial landmark tracking, and face analysis methods to analyse patient images and videos.
The successful candidate will hold a Master’s or PhD in biomedical engineering, clinical engineering, computer science or a related discipline. She or he is also expected to have experience related to applying computer vision, video analysis, or image analysis techniques in research. Knowledge of face detection, facial landmark tracking (e.g. AAM: Active Appearance Models, or deep nets) will be a strong plus. Excellent programming and system integration capacities are expected (Python, Matlab, C++). Experience with open source libraries is strongly desired. In particular, having a good command of OpenCV (in Python) will be a strong plus. Having previous experience with the Menpo Project for AAM face detection and tracking will get you an interview.
The position will be a one-year contract with a competitive salary. The contract may be renewed after the initial year, based on available funding and performance. Toronto Rehab hires on the basis of merit and is committed to employment equity. All qualified persons are encouraged to apply.
The nominal start date is ASAP. There is no official closing date and applications will be reviewed as they are received. Submit your application to Dr. Babak Taati (Babak.Taati@uhn.ca). Please include [FACE RA/PDF 2017] in the subject line. Only shortlisted candidates will be contacted.