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
Ellen Currin, firstname.lastname@example.org
Department of Electrical and Computer Engineering
Box 90291, Durham, NC 27708.
Duke University is an Affirmative Action/Equal Opportunity Employer.