Harvard University, Statistics

Position ID: HarvardStats-POSTDOC [#19279, 10891]
Position Title: Postdoctoral Fellow in Statistics
Position Type: Postdoctoral
Position Location: Cambridge, Massachusetts 02138, United States [map] sort by distance
Subject Area: Statistics
Application Deadline: finished (2021/12/15, finished 2023/06/17, listed until 2022/12/15)
Position Description:    

*** this position has been closed. ***

The Department of Statistics invites applications for a Postdoctoral Fellow with Assistant Professor Pragya Sur. Dr. Sur’s lab focuses on research in high-dimensional statistics and statistical machine learning. Potential research projects include (but are not limited to) developing statistical theory and methods for high-dimensional transfer learning; learning from large-scale (potentially) heterogeneous training data arising from multiple studies/environments/sources; causal inference in high dimensions; high-dimensional Bayesian inference; understanding properties of ensemble learning algorithms used in the analysis of large-scale datasets, e.g. boosting, neural networks, etc.

The appointment will be for up to two years with annual renewal based on satisfactory performance and continued availability of funding.

Ph.D. in Statistics, Mathematics, Electrical Engineering, Computer Science, Machine Learning, or a directly related field at time of appointment is required.

The successful applicant will be expected to have a solid background in statistics and probability theory, research experience showing independence and innovation, and demonstrated academic writing skills.

Please upload the following application materials; curriculum vitae, statement of research experience and interests, and names and contact information for three references. Optional Documents; cover letter and up to two representative publications. The position will remain open until filled, and start date is flexible.

Pragya Sur Assistant Professor of Statistics Harvard University 1 Oxford Street Cambridge, MA-02138 pragya@fas.harvard.edu

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.


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Postal Mail:
1 Oxford Street
Suite 400
Harvard Statistics Department
Cambridge Ma, 02138
Web Page: statistics.fas.harvard.edu