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University of California, Berkeley

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Postdoctoral Neyman Fellow - Department of Statistics University of California, Berkeley in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment with salary estimated at $71,491-$85,736; initial appointment is for two years with possible extension based on performance and funding availability.

Deadline

Dec 9, 2026

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Country

United States

University

University of California, Berkeley

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Keywords

Computer Science
Data Science
Biology
Mathematics
Probability Theory
Computational Science
Salud Pública
Econometric
Computational Statistics
Statistics

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About this position

Postdoctoral Neyman Fellow in the Department of Statistics at the University of California, Berkeley. The fellowship is hosted in the College of Computing, Data Science, and Society and is designed for up to two full-time postdoctoral researchers.

The fellow will pursue an independent research program in Statistics, Probability, Data Science, or a related field while participating in the department’s active research community. The post emphasizes intellectual freedom: the fellow retains substantial freedom in choosing and developing research directions, with a Berkeley faculty sponsor serving as mentor and administrative supervisor.

The Department of Statistics highlights its interdisciplinary and collaborative environment, with faculty and students working across medicine, public health, the social sciences, and computer science. The role is research-focused and carries no teaching or service duties.

Typical activities associated with the postdoctoral appointment include publishing research in peer-reviewed journals, presenting at conferences and seminars, disseminating results to the broader scientific community, and collaborating with other researchers in the group when applicable.

Funding details

Full-time postdoctoral appointment with salary estimated at $71,491-$85,736; initial appointment is for two years with possible extension based on performance and funding availability.

What's required

Applicants must have a PhD (or equivalent international degree) by the start date; at the time of application they may either hold a PhD/equivalent degree or be enrolled in a PhD program. Applicants must have no more than 3 years of post-degree research experience by the start date. Preferred qualifications include a PhD or equivalent in Statistics, Mathematics, Data Science, or a related field, with strength in theoretical, applied, or computational statistics, probability, or data science and an interest in interdisciplinary work.

How to apply

Apply through the UC Berkeley AP Recruit portal at the provided application link. Submit a CV with publication list, a cover letter, and a research statement. Arrange for three confidential letters of recommendation to be submitted by the final deadline.

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