Applications are invited for NIH-funded post-doctoral position in the laboratory of Dr. Maxim Bazhenov at the University of California, Riverside to study olfactory coding. 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.
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 email@example.com
-- Maxim Bazhenov, Ph.D. Professor, Cell Biology and Neuroscience University of California Riverside, CA 92521 Ph: 951-827-4370 http://biocluster.ucr.edu/~mbazhenov/