The research questions to be pursued focus on collective activity in neural networks -- its origin in network dynamics, its expression in terms of multivariate stochastic processes, and its role in encoding and transmitting information. Thus, there is a rich interplay among methods from dynamical systems, probability, and basic information theory. Lively collaboration with other theorists and experimentalists is the norm. More information about the work happening in the Shea-Brown group is at amath.washington.edu/~etsb.
The University of Washington offers superb neuroscience, mathematical science, and bioengineering communities with numerous opportunities for collaboration, and Seattle offers an interesting and extremely beautiful place to live. More about computational neuroscience at UW at compneuro.washington.edu.
Requirements include (1) deep interest in theoretical neuroscience; (2) a PhD in mathematics, applied mathematics, computer science, theoretical biology or neurobiology, statistics, physics, engineering, or a related area; (3) an ability and affinity for communicating mathematical science, both in cross-disciplinary collaborations and in the applied mathematics classroom.
The position provides a competitive annual salary and benefits.
To apply, applicants should submit a cover letter, curriculum vita, and a description of research and teaching interests at www.mathjobs.org/jobs/
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