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Erden in AI roundtab...

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AISB Convention 2016

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Bishop and AI news

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Connection Science

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Al-Rifaie on BBC

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AISB YouTube Channel

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AISB opportunities Bulletin Item

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

Post-doctoral Fellowship in Computer Vision for Blind/Low Vision
Applications (San Francisco)

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, 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 signs in indoor and urban environments,
inferring the layout of traffic intersections and finding features such
as curbs and curb cuts. Most of these algorithms will be designed to run
in real time on a camera cell phone platform (running Symbian C++), 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.

The fellowship will be funded by the National Research Service Award
Program from the National Eye Institute (part of the National Institutes
of Health), and must begin any time before Sept. 2007. One year of
funding is guaranteed, and a second year is very likely. US citizenship
or permanent residency is required; however, alternate funding may be
available for people who do not fulfill these requirements.

Please contact Dr. Coughlan at if you are interested in
applying for the position. For more information about the Computer
Vision Lab, see