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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.

Department: https://statistics.berkeley.edu/

Division: https://data.berkeley.edu

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 (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).

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.

Apply link: https://aprecruit.berkeley.edu/JPF04685

Help contact: recruit-stat@berkeley.edu

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

The University of California, Berkeley is an Equal Opportunity/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, age, or protected veteran status.

Please refer to the University of California's Affirmative Action Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Job location
Berkeley, CA


To apply, visit https://aprecruit.berkeley.edu/JPF04685