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New Stats Faculty Position in Data Science

Linda A. Cicero / Stanford News Service

The Statistics Department invites applications for a position at the Associate or Full Professor (Teaching) level in Data Science. The initial appointment for either rank is up to 6 years.

The Associate Professor (Teaching) term is renewable for an unlimited number of 6-year terms or for a continuing term, which provides security of appointment without requiring further formal reappointment. The Professor (Teaching) term is renewable for a continuing term. Decisions on reappointment and promotion, like decisions on initial appointment, are subject to the exercise of professional and scholarly judgment and discretion by the Statistics Department’s faculty and academic leadership.

Candidates must hold a Ph.D. in a relevant area such as Statistics, Computer Science, or the social sciences, and be recognized for distinguished contributions to the teaching and practice of Data Science. The successful candidate will be expected to maintain a robust program in Data Science that includes teaching an introductory data science course and, depending on the candidate’s background and interests, may include mentoring students in the practice of data science or research.

Applicants should submit a letter of application, curriculum vita, a statement of interests in teaching, research, and practice, course evaluations, and not more than one preprint/reprint about the candidate’s work in one of the relevant areas.

The successful candidate will play a major role in the new undergraduate interdisciplinary Data Science degree which will be offered jointly by the Departments of Statistics, Computer Science, Mathematics, and Management Science and Engineering. The position will be housed in the Statistics Department, which currently has 25 regular faculty members, as well as a distinguished group of emeriti. Many professors have joint appointments in other departments, including positions in mathematics, economics, the School of Medicine, the School of Engineering, and the School of Education.

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