Position overview Salary range: “Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. A reasonable estimated salary range for this position is $131,600-$147,900, inclusive of the salary scale and off-scale salary components.
Application Window Open date: October 8, 2025 Most recent review date: Friday, Dec 12, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Jun 30, 2026 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 The Department of Materials Science and Engineering at UC Davis invites applications for a tenure-track Assistant Professor faculty position in the area of computational materials science with interests that may include, but are not limited to, quantum materials, multiscale modeling, and data-driven design of materials. Experience with the use
of machine learning or artificial intelligence is desirable but not required. This search is part of UC Davis’ commitment to hiring leading research faculty with a strong dedication to teaching, research, and service that share in the institution’s goals of improving educational access and addressing the needs of increasingly diverse state, student and faculty populations. The successful candidate will be responsible
for developing an internationally impactful funded research program that complements and/or extends the Department’s research strengths, and for teaching materials science and engineering courses at the undergraduate and graduate levels. While developing an independent research program, candidates should be willing to contribute to collaborative, multidisciplinary research efforts that are aligned with the
Department’s vision of advancing engineering materials and developing materials-based solutions to technological challenges. Candidates must provide evidence of, or show the potential to develop, the ability to teach effectively at the graduate and undergraduate levels, to develop new courses or seminars, and to provide high-quality mentoring that promotes the professional development of graduate students. Faculty
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