Open Positions

Postdoctoral Fellow
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 and word embedding.
The appointment will be for up to two years with annual renewal based on satisfactory performance and continued availability of funding. For details and to apply, visit this page.

College Fellow in Statistics
The Department of Statistics seeks applications for a College Fellow in Statistics. The appointment is expected to begin on July 1, 2019. The College Fellow will have teaching responsibilities, with 25 percent of the appointment reserved for the Fellow’s own research. Teaching duties will include classroom lecturing, leading and training groups of teaching assistants, as well advising and evaluating senior theses. For details and to apply, visit this page.

Concentration Advisor and Lecturer
The Department of Statistics seeks applications for a Concentration Advisor and Lecturer. To view the full job description and to apply, visit the Harvard University employment site and reference requisition 42543BR.

Teaching Fellows and Course Assistants
We invite applications for TFs and CAs for all 100-level courses, with particular interest in STAT 100, 102, 104, 109, 110, 111, 121a and 121b, 139, and 149. Learn more.

Postdoctoral Positions: General
If you are interested in exploring a postdoctoral opportunity at the Department of Statistics, please apply directly to the faculty member whose research is of interest. See our People page for information on research interests and Faculty websites.

Harvard is 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.