Assistant/Associate/Full Professor

Assistant Professor: Candidates for this rank shall hold the highest degree appropriate to their field or possess equivalent qualifications based on professional experience. A candidate shall be expected to demonstrate successful experience pertinent to the position they are being recommended and have demonstrated qualities relevant to the goals of the academic unit in which they will be employed.

Associate Professor: Candidates for this rank shall hold the highest degree appropriate to their field or possess professional qualifications above those equivalent to the highest degree relevant to their field. They are expected to have produced creative work, professional writing, or research and successful teaching or professional experience. A candidate for this rank must have a distinguished record of achievement beyond the assistant professor level.

Professor: Candidates for this faculty rank shall be qualified for the rank of associate professor and, in addition, be a recognized national or international authority or an outstanding teacher in their field or specialization. A candidate for this rank must have a distinguished record of achievement beyond the associate professor level.

The Department of Physics has an opening for a full-time, tenured-track nine-month faculty position in artificial intelligence for quantum physics at the Assistant, Associate, or Full professor level, to begin August 16, 2026. As part of a campus-wide faculty hiring initiative in artificial intelligence (AI), we seek highly qualified candidates from all areas of AI-related quantum condensed matter physics and quantum information sciences, with emphasis on AI-guided quantum materials discovery, AI-related approaches to strongly correlated phases of matter, and AI-informed design of quantum devices. The successful candidate with deep expertise in quantum physics should have demonstrated extraordinary experience in developing, implementing and/or applying AI algorithms on modern computational platforms, and will have access to the UF HiPerGator, the fastest higher education supercomputer in the United States for higher education (TOP500 October 2025).

The University of Florida has dramatically expanded its investment in AI-related research in recent years. This search is part of UF’s initiative in Artificial Intelligence for Quantum Science, with parallel faculty searches in the Chemistry and Electrical and Computer Engineering Departments. UF’s Artificial Intelligence and Informatics Research Institute brings together preeminent researchers to explore contemporary application areas across the university, with UF experts developing the tools and technologies that support and complement these studies. UF has a large and active condensed matter theory group concentrating on problems of topological matter, superconductivity, correlated electrons, and transport theory. The successful candidate will also benefit through association with the Quantum Theory Project (QTP), a multi-disciplinary institute (Physics, Chemistry, Materials Science, and Computer and Information Sciences) focusing on theory, modeling, and computation of complex, novel molecular and materials systems.

The salary is competitive and commensurate with qualifications and experience, and includes a full benefits package.

Ph.D. degree (or equivalent) in physics or a closely related field.

Relevant postdoctoral research experience is preferred. Demonstrated potential for excellence in teaching and mentoring a diverse undergraduate and graduate student body, while establishing a well-recognized research program, is essential.

Applications must be submitted online at https://apply.interfolio.com/XXXXX, and must include: (1) a cover letter, (2) a curriculum vitae with full publication list, (3) a research statement, (4) a statement of teaching philosophy, and (5) at least three confidential letters of recommendation. A statement of the broader impacts of the candidate’s research and professional activities is invited but not required. Reference providers will only be notified of their upload link once an application is submitted in full, so early completion of an application is highly recommended. To ensure full consideration, applications must be submitted by January 5, 2026. For more information, please contact Prof. Peter Hirschfeld (aiq@phys.ufl.edu).

All candidates for employment are subject to a pre-employment screening, which includes a review of criminal records, reference checks, and verification of education. The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.