Non-Contact Sleep Monitoring – Postdoctoral opportunity
Keywords: Video Analysis, Sleep Monitoring, Signal Processing, Computer Vision, Sleep Apnea
We have an opening for an enthusiastic post-doctoral fellow to work on computer vision, signal processing, and video analysis algorithms for applications in sleep monitoring and medical diagnosis. 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. The hospital houses state-of-the-art research facilities such as the Challenging Environment Assessment Lab (CEAL).
Multi-disciplinary work experience is a plus, but this could also be an ideal position for a hands-on recent graduate who has proven herself/himself in theoretical and algorithm development aspects and wants to apply her/his knowledge to solve practical problems in healthcare. You will be working with (= collecting, analysing) real data, from real patients, and solving real-life problems. At the same time, there are plenty of inspiring computer science questions and challenges to tackle. So you will have a chance (and you are expected) to conduct computer vision and signal processing research and publish in major technical journals and conferences (CVPR etc.) as well as publications geared towards clinical audiences.
The successful candidate will hold a PhD in computer science or a related discipline or will be graduating soon. She or he is also expected to have a solid research and publication record related to computer vision, video analysis, and signal processing. Excellent programming and system integration capacities are also expected. Excellent command of OpenCV (in Python) is a must. Solid Matlab experience is also highly desired. Applicants are encouraged to submit sample code in their application. Knowledge of breathing disorders during sleep (sleep apnea) is a plus, but don’t despair if you have an aptitude for learning!
There is no official closing date and applications will be reviewed as they are received. To apply, please submit your CV and 1 or 2 recent publications. Submit your documents to Dr. Babak Taati. Please include [NonContact Sleep PDF Applicant 2016] in the subject line. Including sample code or reference to open source contributions will significantly improve your chances! Only shortlisted candidates will be contacted.
Babak Taati, PhD PEng
Toronto Rehabilitation Institute – UHN