Postdoctoral Fellowship in Data-Driven Optimization, Duke University
We are seeking an exceptional candidate to work with Robert Calderbank and Vahid Tarokh on   Data-Driven Optimization   with non-conves time-varying objectives at the Information Initiative at Duke .  
Applicants are expected to hold a Ph.D. degree in Math, Stat, EE, CS, Physics or a closely related field. We are seeking mathematically sophisticated and intellectually curious researchers at an early stage of their scholarly careers.
The successful candidate is expected to have a background and familiarity with some of these topics: Model Matching, Expert Systems, Information Theory, and Online Optimization Methods. Familiarity with at least one programming language is required.
This effort has been funded by a generous grant from DARPA. The original appointment period is for one year (beginning  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.    Please submit your application to Ms. Kathy   Peterson by email   kath[email protected] .
Applications received by  March 31, 2018  will be guaranteed full consideration; early application is advisable.
Duke University seeks to build a diverse faculty: women and under-represented minorities are encouraged to apply.
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.