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

Tufts University; Medford (MA); On-site; USD 94,000 - 141,000; Full time

Job summary

Tufts University in Medford, MA invites applications for a tenure-track Assistant Professor position in AI/ML for Materials Design within the Department of Chemistry.

We seek candidates who will establish an independent, funded research program, teach undergrad and grad courses in computational and inorganic/physical chemistry, and collaborate across AI initiatives at Tufts.

Qualifications

• A Ph.D. in Chemistry or a related field 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.

Responsibilities

• Teach 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.
• Develop and advance AI/ML-based techniques and computational methods to design, synthesize, or evaluate novel materials for energy, biomedicine, or other fields.
• Establish an independent, extramurally funded research program and collaborate across Tufts University.

Skills

Teaching experience

Interdisciplinary collaboration

AI/ML for materials design

Education

Ph.D. in Chemistry or related field

Job description

Tufts University: School of Arts & Sciences: Chemistry

Location

Medford , MA

Open Date

Sep 04, 2026

Salary Range or Pay Grade

$94,000 - $141,000

Description

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

Qualifications

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.

Questions about the position can be sent to Department Manager, Joe Hebert at or .

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.

Equal Employment Opportunity Statement

Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally.

Tufts University is an Equal Opportunity Employer. See the University's Non-Discrimination statement and policy here policies-procedures/non-discrimination/. If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling the Office of Equal Opportunity (OEO) at or at . Applicants can learn more about requesting reasonable accommodations at