Postdoctoral Fellow in Statistics at Harvard University in Cambridge, Massachusetts

Job Description:

Harvard University


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 Tracy Ke. Assistant Professor Ke's lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering, matrix factorization, network community detection and mixed membership estimation, topic modeling, word embedding, and reinforcement learning.

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, Biostatistics, Computer Science, Probability, or directly related field at time of appointment is required.

Additional Qualifications: The successful applicant will be expected to have a solid statistical background, research experiences 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 name of/contact information for your PhD advisor. Optional Documents; cover letter and up to two representative publications.

The position will remain open until filled, and start date is flexible.

Contact Information: Assistant Professor Tracy Ke
Department of Statistics
Harvard University
1 Oxford Street
Cambridge, MA 02138

Contact Email: zke@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: 2

Maximum Number of References Allowed: 3


Supplemental Questions: Required fields are indicated with an asterisk (*).

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