[Comp-neuro] Predoctoral IGERT Fellowships Available at UCSD for
2007
Garrison Cottrell
gary at cs.ucsd.edu
Thu Dec 7 19:12:57 CET 2006
APPLICATION DEADLINE: FEBRUARY 16, 2007
Vision and Learning in Humans and Machines IGERT Program
http://www.cse.ucsd.edu/groups/igert/
Department of Computer Science and Engineering
University of California, San Diego
The Vision and Learning IGERT program is pleased to announce that
predoctoral training fellowships are available for incoming Ph.D.
students and existing UCSD Ph.D. students. Prospective Ph.D.
students must apply to a home department concurrently with applying
for this fellowship.
The fellowships are supported by the National Science Foundation's
IGERT program (Integrative Graduate Education and Research
Traineeship) and provide an annual stipend of $30,000 plus the
payment of tuition and fees. The fellowship is for a twelve-month
period and renewable for an additional year. NSF requires that
candidates be citizens or permanent residents of the U.S.
The Vision and Learning IGERT program is for students who have an
interdisciplinary interest in the areas of human vision, computer
vision, human learning, and machine learning. Our goal is to train a
new generation of scientists and engineers who are as versed in the
mathematical and physical foundations of computer vision and
computational learning as they are in the biological and
psychological basis of natural vision and learning.
Candidates from a wide range of backgrounds are invited to apply,
including, but not limited to, Computer Science and Engineering,
Cognitive Science, Psychology and Neuroscience.
We currently have nineteen fellows and 23 faculty affiliated with the
program, representing numerous academic departments and research
institutes, both on and off campus.
Participating Faculty include:
Virginia de Sa, Cognitive Science (PI)
Geoff Boynton, Salk Institute (Co-PI)
Gary Cottrell, Computer Science and Engineering (Co-PI)
Karen Dobkins, Psychology (Co-PI)
David Kriegman, Computer Science and Engineering (Co-PI)
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