Post-doctoral Fellowship in Computer Vision for Blind/Low Vision
Applications
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
