A postdoctoral position is available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net <http://mathematical-neuroscience.net/>). The techniques we employ rely on dynamical systems (with delays, multiple timescales, nonlocal terms or jumps) and stochastic processes (statistical physics), and our research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. 

All projects will involve heavy collaboration with experimental groups in the Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ <http://www.brandeis.edu/departments/mathematics/>) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ <http://www.bio.brandeis.edu/>). Opportunities to teach in the math department could be available and are encouraged! 

Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. 

Applications from under-represented groups are strongly encouraged. 

Candidates should send their applications through MathJobs with a CV, a cover letter indicating their research interests and professional goals:

https://www.mathjobs.org/jobs/jobs/11351 <https://www.mathjobs.org/jobs/jobs/11351>

Best wishes, 

Jon

http://mathematical-neuroscience.net