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Postdoctoral Fellowship in Data-Driven Optimization, Duke University
We areÌýseeking an exceptional candidate to work with Robert Calderbank and Vahid TarokhÌýon Ìý Data-Driven Optimization Ìý with non-conves time-varying objectives at theÌýInformation Initiative at DukeÌý .ÌýÌý
Applicants are expected to hold a Ph.D. degree in Math,ÌýStat, EE, CS,ÌýPhysicsÌýor a closely related field. We are seekingÌýmathematically sophisticated and intellectually curious researchers at an early stage of their scholarly careers.
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The successful candidate is expected toÌýhave aÌýbackground and familiarity with some of these topics: Model Matching, Expert Systems, Information Theory, andÌýOnline 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 periodÌýis for oneÌýyear (beginningÌý April 1, 2018 ).
Applicants are asked to submit (a) cover letter; (b) a vitae; and (c) a research statement describing current and past research (two page maximum). The applicant should request at least three letters of recommendation, but no more than five.Ìý Ìý Please submit your application to Ms. Kathy Ìý Peterson by email Ìý [email protected] .
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Applications received byÌý March 31, 2018 Ìýwill be guaranteed full consideration; early application is advisable.
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Duke University seeks to build a diverse faculty: women and under-represented minorities are encouraged to apply.
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Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status.