Postdoctoral Fellowship in Machine Learning for Analysis of Radio Frequency Signals, Duke University
We are seeking up to two exceptional researchers to work with Rob Calderbank and Vahid Tarokh at theÌýInformation Initiative at DukeÌý Ìý on the applications of machine learning to analysis, detection and the design of radio frequency signals.ÌýApplicants are expected to hold a Ph.D. degree in EE,ÌýMath,ÌýStat,ÌýPhysicsÌýor a closely related field. We are seekingÌýmathematically sophisticated and intellectually curious researchers at an early stage of their scholarly careers.The successful candidate will have a background and familiarity with communications theory, radio frequency signals, probabilisticÌýtechniques and applications. Ìý ÌýKnowledge of at least one programming language is required.ÌýThis effort is funded by a generous grant from DARPA. The original appointment periodÌýis for oneÌýyear, but may be extended for a second year.ÌýPosition can begin as early asÌý April 1, 2018 .ÌýApplicants 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] .ÌýApplications received byÌý March 31, 2018 Ìýwill be guaranteed full consideration; early application is advisable.ÌýDuke University seeks to build a diverse faculty: women and under-represented minorities are encouraged to apply.ÌýDuke 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.