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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

Paid postdoctoral appointment; estimated salary range $71,491 - $85,736, 100% time, initial two-year appointment with possible extension based on performance and funding.

Deadline

Oct 27, 2027

Country flag

Country

United States

University

University of California, Berkeley

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Keywords

Computer Science
Data Science
Mathematics
Probability Theory
Scholarly Publishing
Econometric
Computational Statistics
Statistics

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About this position

The Department of Statistics at the University of California, Berkeley is inviting applications for up to two full-time Postdoctoral Neyman Fellow positions within the College of Computing, Data Science, and Society (CDSS). The fellowship is designed for an independent research program in Statistics, Probability, Data Science, or a related field, with room to pursue work that connects to the department’s interdisciplinary research culture.

The postdoctoral fellow will join a highly collaborative environment in which faculty and students work across areas such as medicine, public health, the social sciences, and computer science. The role includes active participation in the department’s seminars and research interactions, giving the fellow opportunities to engage closely with Berkeley’s research community.

This is a research-focused postdoctoral appointment with substantial independence: the fellow retains freedom in choosing research directions while benefiting from a Berkeley faculty sponsor who serves as mentor and administrative supervisor. The appointment has no teaching or service duties, and the expected work includes publishing results, presenting at conferences, disseminating findings through professional forums, and contributing to collaborative research activity.

Funding details

Paid postdoctoral appointment; estimated salary range $71,491 - $85,736, 100% time, initial two-year appointment with possible extension based on performance and funding.

What's required

Applicants must have a PhD (or equivalent international degree), or be enrolled in a PhD degree program at the time of application. By the start date, the candidate must have a PhD (or equivalent international degree) and no more than 3 years of post-degree research experience. Preferred qualifications include a PhD in Statistics, Mathematics, Data Science, or a related field, with expertise in theoretical, applied, or computational statistics and probability, and an interest in interdisciplinary activities.

How to apply

Submit the application through the Berkeley recruit portal. Include a CV with full publication list, a cover letter, and a research statement of no more than three pages including references. Arrange for three confidential letters of recommendation to be submitted by the final application deadline.

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