[Comp-neuro] Postdoctoral position in Computational/Theoretical Neuroscience

Applications for NIH-funded post-doctoral position are invited for laboratory of Dr. Maxim Bazhenov at the University of California, Riverside. This project aims at understanding how odors and odor concentrations are encoded in the insect olfactory system. It 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 oscillations and synchrony in information processing.

 

Successful candidate will be responsible for design and analysis of the network models of olfactory system based on experimental data and data analysis. 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.  Associate Professor  Department of Cell Biology and Neuroscience  University of California  Riverside, CA 92521  Ph: 951-827-4370  http://biocluster.ucr.edu/~mbazhenov/