AI-Driven Chemistry: Tenure-Track Assistant Professor

University of California - Davis; Davis (CA); On-site; USD 120,000 - 144,000; Full time

Job summary

University of California, Davis invites applications for a tenure-track Assistant Professor in Chemistry. The research should bridge artificial intelligence (AI) and chemistry, with a Ph.D. in Chemistry or related field by Fall 2026.

Candidates must demonstrate the potential for a funded research program and excellence in teaching at graduate and undergraduate levels. We welcome proposals involving AI methods to design catalysts, optimize chemical processes, or predictive spectroscopy.

Qualifications

• Ph.D. in Chemistry or related field required by Fall 2026.
• Strong recommendations.
• Demonstrated potential to achieve a strong record in research, teaching, and service.
• Ability to teach undergraduate and graduate chemistry courses with inclusive teaching practices.
• Potential to establish an externally-funded research program.
• Commitment to service to the department, university, and chemistry communities.

Responsibilities

• Establish a nationally recognized, well-funded research program bridging AI and chemistry.
• Teach both graduate and undergraduate chemistry courses; contribute to curriculum and mentoring.
• Develop AI-driven approaches in catalysts, reaction design, or spectroscopy; pursue innovative interdisciplinary collaborations.

Skills

Strong recommendations

Teaching ability

Funding potential

Service commitment

Research potential

Education

Ph.D. in Chemistry or related field

Job description

University of California, Davis invites applications for a tenure-track Assistant Professor in Chemistry. The research should bridge artificial intelligence (AI) and chemistry, with a Ph.D. in Chemistry or related field by Fall 2026.

Candidates must demonstrate the potential for a funded research program and excellence in teaching at graduate and undergraduate levels. We welcome proposals involving AI methods to design catalysts, optimize chemical processes, or predictive spectroscopy.