[Comp-neuro] postdoctoral position in computational neuroscience to study sleep oscillations

Applications are invited for an NIH-funded post-doctoral position to study mechanisms and functions of sleep oscillations. The successful candidate will join a research team involving the laboratories of Eric Halgren (UCSD), Terry Sejnowski (UCSD) and Maxim Bazhenov (UC Riverside).  For relevant references see, Chen et al, Journal of Physiology (London), 2012, Jul 9; Bonjean et al, Journal of Neuroscience, 2012, 32(15):5250-63. The ultimate goal of this work is to understand mechanisms and functions of sleep rhythms during stage 2 sleep and the role of sleep oscillations in memory and learning.

 

The successful candidate will be responsible for the design of a thalamocortical model generating sleep rhythms based on existing experimental data. These models will be used to understand underlying neural mechanisms, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in computational/theoretical neuroscience and conductance-based neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON or MATLAB is a plus.

 

The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at maksim.bazhenov@ucr.edu

--   Maxim Bazhenov, Ph.D.  Professor, Cell Biology and Neuroscience  University of California  Riverside, CA 92521  Ph: 951-827-4370  http://biocluster.ucr.edu/~mbazhenov/