Postdoctoral Fellowship in Machine Learning for Analysis of Radio Frequency Signals, Duke University

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We are seeking up to two exceptional researchers to work with Rob Calderbank and Vahid Tarokh at the Information Initiative at Duke on the applications of machine learning to analysis, detection and the design of radio frequency signals.
Applicants are expected to hold a Ph.D. degree in EE, Math, Stat, 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 will have a background and familiarity with communications theory, radio frequency signals, probabilistic techniques and applications.  Knowledge of at least one programming language is required.
This effort is funded by a generous grant from DARPA. The original appointment period is for one year, but may be extended for a second year. Position can begin as early as 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
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.