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Postdoctoral Fellow in Statistics
Harvard University in Cambridge, Massachusetts
 
 
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Date Posted 12/09/2021
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

Title Postdoctoral Fellow in Statistics
School Faculty of Arts and Sciences
Department/Area Statistics
Position Description
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. 
Basic Qualifications
Ph.D. in Statistics, Mathematics, Electrical Engineering,  Computer Science, Machine Learning, or a directly related field at time of appointment is required. 
Additional Qualifications
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. 
Special Instructions
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.
Contact Information
Pragya Sur
Assistant Professor of Statistics
Harvard University
1 Oxford Street
Cambridge, MA-02138
Contact Email pragya@fas.harvard.edu
Equal Opportunity Employer
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.
Minimum Number of References Required 3
Maximum Number of References Allowed 4

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