Applications are invited for post-doctoral
research positions
in the laboratory of Dr. Maxim Bazhenov at the University of
California,
Riverside to study role of sleep in memory and learning. This
computational neuroscience
project involves close collaboration with several experimental
laboratories. 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 brain network models based on existing
experimental
data. These models will be used to understand network dynamics
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
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/