Open postdoctoral research position in computational neuroscience in the Fiete group at the Center for Learning and Memory, at the University of Texas at Austin. Projects will involve modeling the dynamics of activity, plasticity, and learning in networks that underlie complex behaviors—including, but not limited to, neural integrators, song production and learning in songbirds, and navigation in ants and rodents. Interactions with the greater neuroscience community are encouraged, and projects will frequently involve collaborations with experimentalists. The initial appointment will be for 1 year with a possibility of extension up to 3 years.
Environment: The Center for Learning and Memory is a new center for integrative neuroscience at the University of Texas, Austin, and consists of an energetic mix of junior and senior faculty who use imaging, electrophysiology, molecular biology and biochemistry, genetics, psychology, physics, and computer science techniques to study the brain. The CLM is part of a much larger neuroscience community at UT Austin. UT Austin has excellent programs in engineering, non-linear dynamical systems, and the sciences. For more information, please see http://www.klab.caltech.edu/~ila/ and http://www.clm.utexas.edu/ and http://www.utexas.edu/neuroscience/.>
To Apply: Applicants should be excited about research and have strong quantitative training in Physics, Mathematics, Computational Neuroscience, Computer Science, or Engineering. A demonstrated dedication to and enthusiasm for research is a must.The ability to program in Matlab or C and some knowledge of neuroscience is desirable but not necessary. If interested, please email me with a copy of your CV or resume and a statement of research interests. Please arrange to have 3 letters of recommendation sent by to Ila Fiete at ilafiete@caltech.edu. I will review applications after receiving all the requested information. Application review will begin immediately, and continue until all positions are filled.
