[Comp-neuro] postdoctoral position in modeling memory consolidation
bazhenov at salk.edu
Tue Jun 11 21:49:32 CEST 2013
Applications are invited for post-doctoral positions in the laboratory
of Dr. Maxim Bazhenov at the University of California, Riverside to
study role of sleep rhythms in memory and learning. This project
involves close collaboration with laboratories of Eric Halgren (UCSD),
Terry Sejnowski (Salk), Sydney Cash (Harvard), Jean-Marc Fellous (Univ
of Arizona). The ultimate goal of this work is to understand how the
interaction among brain areas during different stages of sleep leads to
consolidation of memory for recent learning.
The successful candidate will be responsible for the design of the
anatomically realistic thalamo-cortico-hippocampal models based on
existing experimental data. These models will be used to understand
network dynamics of brain that are involved in the processes of memory
consolidation, 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. 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
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