Assistant Professor – Intersection of Statistics and CS

University of California, Berkeley; Berkeley (CA); On-site; USD 84,000 - 163,000; Full time

Job summary

University of California, Berkeley invites applications for a joint tenure-track Assistant Professor position in the intersections of Statistics and Computer Science (EECS & Statistics). The appointment is expected to be 50% in EECS and 50% in Statistics, with start anticipated July 1, 2027.

The salary base ranges from $84,100 to $163,200 for the 9-month academic year, with off-scale pay possibilities. Open date is October 7, 2026 and final review date is November 10, 2026, Pacific Time.

Qualifications

• PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.
• Joint appointment is expected 50% in EECS and 50% in Statistics, with possible variation by mutual agreement.
• Areas of focus include Machine Learning (ML) and Artificial Intelligence (AI), and foundations of statistical ML/AI.

Responsibilities

• Teach undergraduate and graduate AI/ML courses in both departments.
• Advance research at the intersection of statistics and computer science, with emphasis on trustworthy AI.
• Contribute to service and mentoring within two departments.

Education

PhD (or enrolled in a PhD or equivalent international degree-granting program)

Job description

Assistant Professor – Intersection of Statistics and CS – Departments of Electrical Engineering & Computer Sciences and Statistics

Position overview

Position title: Assistant Professor

Salary range: The current base salary range is $84,100 – $163,200 (9-month academic-year salary); however, off-scale salary and other components of pay, which would yield compensation that is higher than this range, are offered to meet competitive conditions.

Anticipated start: July 1, 2027

Application Window

Open date: October 7, 2026

Next review date: Tuesday, Nov 10, 2026 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.

Final date: Tuesday, Nov 10, 2026 at 11:59pm (Pacific Time). Applications will continue to be accepted until this date.

Position description

The Department of Statistics and the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley, invite applications for a joint tenure-track position at the Assistant Professor level. This position is expected to be 50% time in each of the Departments of EECS and Statistics, although an appointment at different percentages can be made by mutual agreement.

This position aims to build upon Berkeley's legacy at the intersection of statistics and computer science in the areas of Machine Learning (ML) and Artificial Intelligence (AI). We seek exceptional candidates who will expand our strength in shared research areas of critical need, Trustworthy AI and Foundations of Statistical ML and AI, while supporting undergraduate and graduate teaching in Artificial Intelligence and Machine Learning (AI/ML).

About the Statistics Department

The Berkeley Department of Statistics is part of the College of Computing, Data Science, and Society (CDSS). It is consistently ranked as a top program in Statistics internationally. Since the inception of the Department in 1955, graduates and faculty of Berkeley have shaped the foundations and applications of Statistics, Data Science, and Machine Learning. The department is proud of our interdisciplinary and collaborative nature, with many faculty and students collaborating across fields such as biomedicine, public health, neuroscience, physical sciences, the social sciences, and computer science.

About the EECS Department

The EECS department is part of the College of Engineering (COE) and the College of Computing, Data Science, and Society (CDSS). It offers one of the strongest research and instructional programs in this field anywhere in the world. Our key strength is our array of cross-disciplinary, team-driven projects. The integration of EE and CS forms the core, with strong interactions that extend into many other disciplines.

The EECS and Statistics departments each have several related faculty positions open or opening soon. Please visit the EECS Faculty Positions webpage and the Statistics Academic Positions webpage to view these listings. To be considered for multiple positions, please submit a separate application for each one.

UC Berkeley values the family needs of faculty, including dual career couples, single parents, or those who may have taken time off for family reasons. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit the Office for Faculty Equity and Welfare's website.

Qualifications

Basic qualifications

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

Application Requirements

Document requirements

• Cover Letter - Your cover letter should clearly review your qualifications for the position within 2 pages.
• Curriculum Vitae - Your most recently updated CV with a complete list of publications.
• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
• Teaching Statement - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts and accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Please also discuss your mentoring experiences and approach. This can include, for example, past efforts and future plans to support the success of all students, and to foster an inclusive research mentoring environment that removes barriers and promotes equitable access and advancement of the research program. You might include a list of UC Berkeley courses you would feel comfortable teaching.
• Service Statement - Please discuss specific prior and proposed academic, professional and/or public service activities. This can include, for example, participating in professional or scientific associations, serving on committees that advance department, campus or discipline goals, and conducting outreach activities that can remove barriers and increase participation of academics in your field.
• Publication (1) - Provide a statement that begins with the manuscript title and author list and then summarizes the significance of the selected publication.
• Publication (2) - Provide a statement that begins with the manuscript title and author list and then summarizes the significance of the selected publication.
• Publication (3) - Provide a statement that begins with the manuscript title and author list and then summarizes the significance of the selected publication.

Reference requirements

• 3 letters of reference required

Applicants must provide three letters of recommendation that speak to their record and/or potential for excellence in research, teaching, mentoring, and service. Recommenders providing letters of reference should submit them as early as possible, preferably by the application deadline. Applicants are responsible for asking their references to upload letters as part of the online application process.

Help contact: [e-mail]

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). 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 Affinity 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.

• “Misconduct” means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affinity Policy

Job location

Berkeley, CA