Post-doctoral Fellowship in Computer Vision for Blind/Low Vision Applications
***As of Sept. 24, 2008, this position has been filled.***
The Smith-Kettlewell Eye Research Institute (located in San Francisco, CA) seeks a qualified researcher to join the Computer Vision Lab as a post-doctoral fellow. The Computer Vision Lab, under the direction of Dr. James Coughlan, is part of the Smith-Kettlewell Rehabilitation Engineering Research Center (RERC), a group focusing on the development of assistive technology and visual assessment for blindness and low vision.
Research activities will concentrate on developing computer vision algorithms for blind and low vision applications. Current applications include detecting and reading consumer electronics displays (e.g. LED/LCD readouts on microwave ovens and other appliances) and indoor/outdoor signs, inferring the layout of traffic intersections and finding features such as curbs and curb cuts. Many of these algorithms will be designed to run in real time, and will be tested by blind and low vision users.
A Ph.D. in a computational field such as computer science, engineering, physics or math is required, and the applicant must have experience in computer vision. Proficiency in C++ is also required. Since the Computer Vision Lab emphasizes the use of Bayesian methods, the applicant will ideally have experience in probabilistic modeling and/or machine learning. Finally, excellent oral and written communication skills and the ability to work in a team are a must.
The fellowship will be funded by one or more grants from the National Eye Institute (part of the National Institutes of Health). Two years of funding are guaranteed, and a third year is possible.
Please contact Dr. Coughlan at coughlan@ski.org if you are interested in applying for the position. For more information about the Computer Vision Lab, see http://www.ski.org/Rehab/Coughlan_lab/
Last updated Sept. 2008.