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Assistant Project Scientist - Department of Electrical Engineering & Computer Sciences - RDI

Position overview Position title: Assistant Project Scientist
Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t38-b.pdf The current full-time base salary range for this position is $97,000-$121,800. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time: 100%

Anticipated start: December 2025

Position duration: 1 year with the possibility of renewal depending on availability of funding and satisfactory performance

Application Window
Open date: October 9, 2025

Next review date: Thursday, Oct 23, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Nov 8, 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

Berkeley Center for Responsible Decentralized Intelligence (RDI) is a multidisciplinary initiative dedicated to advancing the science, technology, and education of AI and Agentic AI to empower a responsible digital economy. RDI conducts research in the areas of AI and Agentic AI with an emphasis on agentic AI foundations, AI safety & security, agentic AI applications, AI for cybersecurity, AI for program synthesis and secure code, as well as decentralization technologies. RDI's teaching includes the first LLM Agents MOOC and Agentic AI follow-on courses in the series that have attracted over 32,000 registered learners globally along with agentic AI competitions and hackathons attracting thousands.

The Assistant Project Scientist will contribute high-level expertise to research on AI safety in multi-agent systems. The appointee will work as part of a collaborative research team to investigate open challenges in AI safety, including surveying and synthesizing existing literature, identifying emerging safety and security risks in multi-agent environments, and supporting the design, implementation, and evaluation of new approaches to address these risks.

Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ra/index.html

Qualifications
Basic qualifications (required at time of application)
PhD or equivalent international degree at time of application

Preferred qualifications

• Extensive experience in AI safety and also extensive experience in security in general
• PhD related to AI safety and/or security

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.
• 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.

Reference requirements

• 3 required (contact information only)

Apply link: https://aprecruit.berkeley.edu/JPF05183

Help contact: dawnsong@cs.berkeley.edu

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 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.

• "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: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

To apply, visit https://aprecruit.berkeley.edu/JPF05183





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