We are glad to connect our students with exciting job opportunities that await them.
Advertise a job opening
To our current students
Please submit the details of your open positions to:
La Shana Porlaris
Graduate Student Services Advisor
373 Evans Hall, UC Berkeley
To our alumni
Contact our Industry Alliance Program at email@example.com to learn how you can have your position advertised in either our MA/PhD Alumni or Undergraduate Alumni LinkedIn groups
Learn about our Industry Alliance Program:
Discover the benefits of a long-term alliance with the department.
Who Are We?
In 1938 Jerzy Neyman, one of the intellectual giants of the twentieth century, established at Berkeley one of the first centers in the country for statistical research. Since its inception, graduates and faculty of Berkeley have shaped the foundations of statistics. Past faculty include such luminaries as David Blackwell, Leo Breiman, David Freedman, Lucien LeCam, and Erich Lehmann. We currently have over 30 active research faculty in the department, four of whom are members of the National Academy of Sciences.
The department is consistently ranked as one of the two premier graduate programs in statistics nationally. The department has an undergraduate, a master's, and a PhD program, with about 100 BAs, 20 MAs and 8 PhDs awarded each year.
Departmental research interests are wide-ranging, with eighteen of our faculty holding joint positions in other departments such as Biostatistics, Demography, Electrical Engineering and Computer Sciences, Integrative Biology, and Mathematics. Faculty members are frequently involved with research collaborations throughout campus, from small designed studies to large-scale data analysis projects, including ENCODE, the Cancer Genome Atlas Project, and the Cyber Discovery Initiative (CDI). Many faculty are also actively engaged in consulting with outside industries, as well as serving as experts for legal proceedings and policy makers.
Prominent areas of research interest in the department include:
- Bayesian Inference
- Bioinformatics and Computational Biology
- Causal and graphical models
- Financial Modeling
- High dimensional data
- Information Theory
- Machine learning
- Probability Theory
- Time Series and Survival Analysis
Our research webpage has further details.