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
Most recent review date: Monday, Jan 6, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
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 in our public mission of research, teaching, and service. These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity 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.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment 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.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
Job location
Berkeley, CA
To apply, visit https://aprecruit.berkeley.edu/JPF04685
