A postdoctoral fellowship (renewable up to three years) is available for US citizens or permanent residents through a Training grant in “Geometric, Topological, and Statistical methods for Analyzing Massive Datasets.”
Candidates with background in mathematics, statistics, computer science, or engineering with a desire to develop methods and theory for the analysis of massive data are encouraged to apply. There is also a strong interest for applicants that want to develop methods to analyze massive data in application domains. Examples of application areas include genetics, imaging, ecology and environmental science.
The position is available through either the mathematics or statistical science department. The stipend is competitive and there are several interdisciplinary opportunities. The faculty involved include: John Harer, Mauro Maggioni, Sayan Mukherjee, Scott Schmidler, Ingrid Debacuhies, Li Ma, Rob Calderbank, Pankaj Agarwal, Bill Allard, Alan Gelfand, Larry Carin, Rebecca Willett, and Robert Wolpert.
Women and under-represented minorities are strongly encouraged to apply.
All applicants should submit curriculum vitae and research statement and arrange three reference letters. All materials should be submitted online at Academic Jobs Online (https://academicjobsonline.org). For inquiries and e-mail correspondence please write to Li Ma (email@example.com) or Sayan Mukherjee (firstname.lastname@example.org).