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

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.

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.

Individuals should submit their application at this level if they meet one of the following conditions: Current or recent PhD candidate (or international equivalent degree) or graduate; current or recent postdoc; current assistant professor (including those who are "senior" assistant professors near tenure). Please note that this level determination is only for application review purposes, not the ultimate appointment level of the finalist.

• 3 letters of reference required

Applicants at the Assistant Professor level 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.

Individuals should submit their application at this level if they meet one of the following conditions: Current tenured professor or position equivalent to tenured professor (i.e., at an international university). Please note that this level determination is only for application review purposes, not the ultimate appointment level of the finalist.

• 3 letters of reference required

Applicants at the Associate/Full Professor level must provide three letters of recommendation that speak to their 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.

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.

The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, or discrimination. Consistent with this commitment, UC Berkeley requires all applicants for Senate faculty positions to complete, sign, and upload an Authorization of Information Release form into AP Recruit as part of their application. If an applicant does not include the signed authorization, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, applicants will only be subject to institutional reference checks if and when they are selected as the candidate to whom the hiring unit would like to extend a formal offer. More information is available on this website.

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