Neyman Visiting Assistant Professor – Statistics University of California Berkel

Neyman Visiting Assistant Professor – Statistics Position overview Position title: Neyman Visiting Assistant Professor Salary range: A reasonable estimate for this position is $85,000 Percent time: 100% Anticipated start: July 1, 2025 or January 1, 2026 Review timeline: The initial review will begin December 2, 2024 and will remain open until filled through June 30, 2025. Position duration: Visiting professors can be up to one year in length with the possibility of renewal for a second year. Approval of a third year appointment requires exceptional campus level approval. Application Window Open date: November 27, 2024 Next review date: Wednesday, Dec 11, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Monday, Jun 30, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Department of Statistics, in the College of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley currently seeks applications for a non-tenure-track Neyman Visiting Assistant Professor position. The Neyman Visiting Assistant Professor will be expected to engage in teaching and research and participate in seminars and lectures within the department. The Berkeley Statistics Department is consistently ranked as one of the two premier programs in statistics nationally. Since the inception of the Department in 1955, graduates and faculty of Berkeley have shaped the foundations and applications of Statistics. The department is equally proud of our interdisciplinary and collaborative nature, with many faculty and students collaborating across fields such as medicine, public health, the social sciences, and computer science. Applicants should document their experience in teaching Statistics, Mathematics, Data Science, or a related field at the college level. We will consider strong candidates in any area of Theoretical, Applied, or Computational Statistics, Probability, Data Science, with a particular interest in interdisciplinary activities. Diversity, equity, inclusion, and belonging are core values of the Department of Statistics. We believe that our excellence can only be fully realized by faculty, students, and staff who share fully our commitment to these values. The Department of Statistics is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or research. Qualifications Basic qualifications (required at time of application) Basic Qualifications (at time of hire): PhD (or equivalent international degree) or enrolled in PhD degree program. Additional qualifications (required at time of start) Additional Qualifications (required by start date): PhD (or equivalent international degree). Preferred qualifications Preferred Qualifications: PhD (or equivalent international degree) in Statistics, Mathematics, Data Science, or a related field. Application Requirements Document requirements Curriculum Vitae – Your most recently updated C.V. Cover Letter Statement of Research Statement of Teaching Statement on Contributions to Advancing Diversity, Equity, and Inclusion – Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. Reference requirements • 3 required (contact information only) 3 names and contact information (e-mail address) for writers of letters of recommendation are required at the time of application. Letters of recommendation will be required only for those candidates under serious consideration and the department will notify the applicants prior to contacting their letter writers. Job location Berkeley, CA To apply, visit

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