Connectionists: postdoctoral position in computational neuroscience to study sleep oscillations

[Maxim Bazhenov]

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 at 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/


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