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@salk.edu) and Nikolai Rulkov (nrulkov@ucsd.edu).