We are听seeking an exceptional candidate to work with Robert Calderbank and Vahid Tarokh听on
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Data-Driven Optimization
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with non-conves time-varying objectives at the听Information Initiative at Duke听
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Applicants are expected to hold a Ph.D. degree in Math,听Stat, EE, CS,听Physics听or a closely related field. We are seeking听mathematically sophisticated and intellectually curious researchers at an early stage of their scholarly careers.
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The successful candidate is expected to听have a听background and familiarity with some of these topics: Model Matching, Expert Systems, Information Theory, and听Online Optimization Methods. Familiarity with at least one programming language is required.
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This effort has been funded by a generous grant from DARPA. The original appointment period听is for one听year (beginning听
