Assistant Professor in Artificial Intelligence/Machine Learning for Materials Design (tenure-track)

The Department of Chemistry at Tufts University invites applications for a tenure-track Assistant Professor position in the area of Artificial Intelligence (AI)/Machine Learning (ML) for Materials Design.

The Chemistry Department at Tufts is a highly-active (R1) research community that values excellence in both education and scholarship, along with collaborative and interdisciplinary research. This position will contribute to the department's expanding strengths in AI/ML and materials research, in alignment with efforts across the broader University, including the Tufts Institute for Artificial Intelligence and the Tufts Epsilon Materials Institute. For this position, the central research focus should be the development and/or use of AI/ML-based techniques and computational methods to advance design, synthesis, or evaluation of novel materials for applications in energy, biomedicine, or other critical fields. Candidates should demonstrate the potential to establish a productive, independent, and extramurally funded research program.

Teaching responsibilities will include undergraduate and graduate courses in chemistry related to the candidate's research, particularly in Computational Chemistry, AI/ML, Materials Chemistry, Inorganic Chemistry or Physical Chemistry.

More information about the department can be found at http://chem.tufts.edu

A Ph.D. in Chemistry or a related field (particularly in Materials Chemistry, Inorganic Chemistry, Physical Chemistry, Physical Organic Chemistry, or Analytical Chemistry) is required. Prior teaching experience and familiarity with modern teaching practices are preferred, though all candidates committed to excellence in teaching are encouraged to apply.

All application materials must be submitted via Interfolio at https://apply.interfolio.com/192913. Applications should include (1) a cover letter, (2) a CV, (3) a research plan, which should contain a 1-page summary plus 2-3 research proposals (1-2 pages each, excluding references), (4) a teaching statement, and (5) three confidential letters of recommendation.

To ensure full consideration, applications must be submitted by 10/10/2026. All offers of employment are contingent upon the completion of a background check.

Questions about the position can be sent to Department Manager, Joe Hebert at 617 627-3498 or joe.hebert@tufts.edu.

Tufts University is committed to providing competitive and equitable compensation that reflects each candidate's experience, expertise, responsibilities, and performance. The pay offered within the posted range will be determined based on a variety of factors such as (but not limited to) the individual's education and experience, discipline, rank, internal equity, and budgetary considerations. Ranges represent full-time 9- or 12- month base salaries.