Postdoctoral position in computational neuroscience: sleep and memory consolidation

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study role of sleep in memory and learning. This computational neuroscience project involves close collaboration with several experimental laboratories. The ultimate goal of the work is to understand how sleep rhythms contribute to consolidation of memory for recent learning and how sensory or electrical stimulation during sleep can enchance memory consolidation.

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 that are involved in the processes of memory consolidation during sleep, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in computational/theoretical neuroscience and 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. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at