Faculty Search

We are currently looking to fill the following appointment(s):

Stein Fellow in Statistics or Probability

The Statistics Department seeks applicants for a non-tenure track Stein Fellow position, for two years with possible extension to three years.

 

The Stein Fellowship is designed to be a career-building step for new scholars. Our intention is to develop the next generation of leaders in statistics and related disciplines by offering a unique opportunity for the best young scholars to develop their expertise in both teaching and research. Opportunities will be offered for the fellow to participate in some of the department's ongoing research projects in statistical theory and methods as well as their application to diverse subject areas. The Stein Fellow will have a light teaching load: two one-quarter courses will be taught each academic year.

Applicants should have demonstrated strong research and teaching abilities. A PhD in Statistics or a related area is required. Applicants should submit a letter of application, curriculum vita, a statement of research and teaching interests, graduate transcripts, not more than one preprint/reprint, and arrange for three letters of recommendation to be submitted.

The Stanford Statistics Department 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, and the School of Engineering. The varied research in the department integrates core statistical theory, mathematics, computing, algorithms, and applications to many scientific disciplines.

Associate or Full Professor (Teaching) in Data Science

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.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.