Connectionists: Postdoctoral Positions in Computational Neuroscience
sharpee@phy.ucsf.edu
sharpee at phy.ucsf.edu
Sun Feb 4 19:19:25 EST 2007
PostDoctoral Positions in Computational Neuroscience
Full-time postdoctoral positions are available at the Crick-Jacobs Center for
Theoretical Biology, within the Salk Institute for Biological Studies, San
Diego, CA. Projects will involve work at the interface between physics and
biology, on theories of neural coding and computation. Specifically, the goals
of these projects will include: (1) formulating optimal coding strategies in
neuronal populations, and (2) developing statistical and
information-theoretical methods for charaterizing invariant neural feature
selectivity (such as that of face-selective neurons or neurons in the song bird
brain selective for its own song).
Environment: The Crick-Jacobs Center at the Salk Institute and the Center for
Theoretical Biological Physics at UCSD together offer a first-class research
and training envirnoment in the theoretical physics and computational biology.
The Salk Institute offers exposure to cutting-edge experimental biological
research in genetics, neuroscience, and cellular biological networks. For more
information, please see http://keck.ucsf.edu/~sharpee and
http://www.cnl.salk.edu/.
Candidates should have a strong quantitative background in Physics,
Mathematics, Engineering, Computer Science or Computational Neuroscience.
Completion of the PhD degree in any of these fields is required before the
start date. The start date is flexible, and could be as early as April 1st,
2007. The initial appointments will be for 1 year, and are renewable. Ability
to program in C or Fortran, Mathematica/Matlab, and some knowledge of
neuroscience is a plus, but is not required.
To apply, please send a cv, brief statement of research interests, and
three letters of reference to me by email (sharpee at phy.ucsf.edu) in PDF or text
format. Review of applications will begin on March 1st, 2007, and continue
until positions are filled.
Best regards,
Tatyana Sharpee
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