Assistant/Associate/Full Professor - AI and the Physical Sciences - Bakar Institute of Digital Materials for the Planet (BIDMaP) , Electrical Engineering & Computer Sciences, and Statistics

The
University of California, Berkeley invites applications for two approved ladder-rank positions at the
Assistant, Associate, or Full Professor level in the area of
AI and the Physical Sciences.
This appointment will start as a 100% appointment in EECS or Statistics or a joint combination, with the appointee joining the
Bakar Institute of Digital Materials for the Planet (BIDMaP) in the College of Computing, Data Science, and Society (CDSS) as a member, with access to its collaborative resources and postdoctoral program. It is the intention to move the position to a 50/50 split appointment between the home department(s) and a future interdisciplinary data science unit if/when established in CDSS.
About the Bakar Institute of Digital Materials for the Planet:
BIDMaP is an institute in the College of Computing, Data Science, and Society (CDSS), with the goal of advancing the state-of-the-art in the core of computing, data science, and statistics, while making sustained progress on issues of human and societal significance. BIDMaP advances the synthesis, design, and translation of innovative materials aimed at mitigating critical global challenges. Through the integration of pioneering chemistry and materials science with machine learning, artificial intelligence, and robotic automation, BIDMaP transforms materials innovation into targeted solutions for clean air, clean water, advanced batteries, and sustainable chemical production.

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 Department has several related faculty positions open or opening soon. Please visit our
EECS Faculty Positions webpage to view these listings. To be considered for multiple positions, please submit a separate application for each one.

About the Statistics Department:

The 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. The Statistics Department has additional open faculty positions, please visit our
Academic Positions webpage for more details. To be considered for multiple positions, please submit a separate application for each one.

About the Position:

AI is rapidly transforming scientific discovery across physics, chemistry, materials science, and related disciplines. Equally important, some of the most exciting advances are emerging from a two-way interaction: scientific challenges are motivating fundamentally new AI and statistical methods, while advances in AI and statistics are reshaping how science itself is conducted. We seek exceptional candidates with the potential to build world-class research programs at this interface, who see fundamental challenges in the physical sciences as a source of new questions and opportunities for advances in AI, machine learning, and statistics, and who pursue advances in these fields and breakthroughs in scientific discovery as inseparable research goals. Successful candidates will be expected to engage deeply with researchers in the physical sciences, particularly within BIDMaP and the broader Berkeley community, to develop and pursue ambitious research directions at this interface.
UC Berkeley is committed to addressing the family needs of faculty, including dual-career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit:
Office for Faculty Equity and Welfare

Basic qualifications

(required at time of application)
Completion of a doctoral degree (e.g., Ph.D.), or equivalent international degree, or enrolled in a doctoral degree or equivalent international degree-granting program at the time of application.

Preferred qualifications

Preference will be given to applicants interested in making innovative and far-reaching contributions to AI, machine learning, or statistics through deep engagement with fundamental challenges in the physical sciences, and whose research, teaching, or service has prepared them to contribute to the mission of the College of Computing, Data Science, and Society (CDSS) to advance knowledge and serve society.