Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study cellular and circuit level mechanisms behind large-scale brain electrical activity. This project involves close collaboration with experimental laboratories.  The ultimate goal of the work is to develop detailed multi-scale models of how human MEG and EEG are generated, including channels, synapses, neurons, and networks. Specific focus of the project is on sleep rhythms.

 

The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be used to understand network dynamics behind MEG and EEG rhythms. This project will be developed in close interaction with other projects in the lab focusing on understanding the role of sleep in memory and learning and deriving novel learning principles that can be applied in artificial intelligence and machine learning. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. Programming experience in C/C++/ PYTHON/MATLAB is required.

 

The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov@ucsd.edu (I will be at Cosyne workshops on March 3-5, and I would be glad to meet with interested candidates)

-- 
Maxim Bazhenov, Ph.D.
Professor, Department of Medicine,
Neurosciences Graduate Program,
UCSD, School of Medicine
http://www.bazhlab.ucsd.edu/