We (Stephan Munch, Alec MacCall and Marc Mangel) are seeking a candidate to fill a postdoctoral position in the Center for Stock Assessment Research, Department of Applied Mathematics and Statistics at UC Santa Cruz in conjunction with NOAA FisheriesÂ’ Santa Cruz Laboratory. This position is part of a NOAA-funded project to improve assessment methods. The successful candidate will work with us to develop semi-parametric Bayesian tools for nonlinear time-series modeling and non-parametric approaches to optimal harvest policies that implicitly account for multi-species dynamics.
The ideal candidate should have experience with hierarchical Bayesian data analysis, Gaussian process regression, and nonlinear time-series modeling, and have the ability to work effectively with both applied mathematicians and ecologists or fisheries scientists. Familiarity with stochastic dynamic programming is beneficial but not required. Please direct inquiries and applications (please include a CV with any initial application) to Steve Munch ([email protected]).
