[Comp-neuro] postdoctoral position to study information coding in the olfactory system

Maxim Bazhenov bazhenov at salk.edu
Wed Sep 25 20:42:03 CEST 2013

Applications are invited for NIH-funded post-doctoral position in the 
laboratory of Dr. Maxim Bazhenov at the University of California, 
Riverside to study information coding in the olfactory system. This 
project involves close collaboration with laboratory of Dr. Mark Stopfer 
at NIH. For relevant references see, Assisi et al., Neuron 2011, 
69(2):373-86; Ito et al., Neuron 2009, 64(5):692-706; Assisi at al., 
Nature Neurosci, 2007, 10(9):1176-84. The ultimate goal of this work is 
to understand mechanisms and functions of biological rhythms and the 
role of neuronal dynamics in information processing.

The successful candidate will be responsible for design and analysis of 
the network models of olfactory system 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

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