Duke Postdoc in High-Dimensional Data Analysis

The Duke high-dimensional data analysis group is led by Robert Calderbank, Lawrence Carin, Ingrid Daubechies, David Dunson, Mauro Maggioni, and Rebecca Willett. We are seeking accomplished applicants for postodoctoral research associate positions. Candidates must hold a PhD in mathematics, signal processing, statistics, or computer science, and the ideal candidate will have research experience in statistical learning theory, information and coding theory, Bayesian statistics, optimization theory, geometry, graph theory, or nonparametric estimation. The associate will work with multiple members of the above faculty team on funded projects to develop high-dimensional data analysis theory and methods. The associate will also be expected to help mentor graduate students working on related projects and participate in research leading to publications in top journals. The appointment, which can begin immediately, will be for a one-year contract with potential for renewal. Applicants should email their CV, a brief statement of their background and interests and contact information for at least three references to: Ellen Currin, ecurrin@ee.duke.edu Department of Electrical and Computer Engineering Box 90291, Durham, NC 27708. Duke University is an Affirmative Action/Equal Opportunity Employer.