Connectionists: Postdoctoral position in computational neuroscience

[Maxim Bazhenov]

Applications are invited for post-doctoral research position in the 
laboratories of Drs. Nikolai Rulkov and Maxim Bazhenov at the University 
of California, San Diego to develop novel computational models of 
large-scale brain dynamics. This project involves close collaboration 
with experimental and theoretical groups. The ultimate goal of this 
research is understanding how the large-scale brain dynamics arises from 
individual dynamics of spiking neurons and synaptic interactions.

The successful candidate will be responsible for the design of new 
classes of thalamic, cortical and hippocampal neuron models based on the 
discrete time (difference) equations. These models will be used to model 
brain network dynamics during sleep and wakefulness, as well as guide 
data analysis and produce novel experimental predictions. Qualified 
applicants are expected to have experience in dynamical systems, 
conductance-based neuronal modeling and theory of digital signal 
processing. 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 (bazhenov at salk.edu) and Nikolai Rulkov (nrulkov at ucsd.edu).



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