Statistician – Faculty Positions
Statistician - Faculty Positions
Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts
MIT has launched a cross-Institute center focusing on research and education in Statistics and Information Systems within its newly formed Institute for Data, Systems, and Society (IDSS). Consequently, MIT is seeking candidates for two faculty positions starting in September 2016 or thereafter. We are seeking one candidate with an interest in general statistics, and another who has research interests in Biology. Appointments will be at the assistant or untenured associate professor level, and will be made in partnership with another MIT department. In special cases, a senior faculty appointment may be possible. Faculty duties include teaching at the undergraduate and graduate levels, research, and supervision of student research.
For the general statistician opening, we will consider candidates with backgrounds and interests in the broad areas of Statistics ranging from fundamental theoretical focus to applications of Statistics in various domains in Engineering, Management, Science, Life Science and Social Science.
For the opening of statistician with research interests in biology, we will consider candidates with backgrounds and interests in the broad areas of Statistics, Analytics, and Data Science. Of particular interest are candidates who have expertise in methodology development for and in the analysis of data from any one of a number of fields of biology including but not limited to molecular biology, systems biology, genetics or neuroscience. The research can be on basic science, clinical problems or both. In any case, the candidate will have strong skills in connecting theory to practice. We anticipate that this faculty member will be part of collaborative research with the Broad Institute of Harvard and MIT, or in the case of neuroscience, with the Department of Brain and Cognitive Sciences, and possibly with either the Picower Institute or the McGovern Institute.
All candidates must have a Ph.D. in Statistics, Engineering, Computer Science, Operations Research, Economics, Mathematics or a related field by the start of their employment.
Candidates must register with the Faculty Search website at https://school-of-engineering-faculty-search.mit.edu/ and must submit application materials electronically to this website. Candidate applications should include a description of professional interests and goals in both teaching and research. Each application should include a curriculum vitae and the names and addresses of three or more individuals who will provide letters of recommendation. Letter writers should submit their letters directly to MIT, preferably on the website or by mailing to: 77 Massachusetts Avenue, E40-261, Cambridge, MA 02139. Responses received by December 15, 2015, will be given priority.
Send all materials not submitted on the website to: email@example.com
MIT is an equal opportunity employer. Women and underrepresented minorities are encouraged to apply.