Tenure-Track Faculty (Assistant or Associate) Position in AI for Material Science

Role details

Tenure-Track Faculty (Assistant or Associate) Position in AI for Material Science

FACULTY VACANCY ANNOUNCEMENT

Hunter College is pleased to announce a faculty search as part of the CUNY Martin S. Spergel Initiative, supported by the Simons Foundation. The Department of Computer Science at Hunter College of The City University of New York invites applications for a tenure-track faculty position at the Assistant or Associate Professor rank, beginning in August 2027. Exceptional candidates seeking appointment at the rank of Professor may also be considered.

The Department seeks candidates with a strong research record at the intersection of artificial intelligence and materials science , with particular interest in researchers developing novel AI methods and computational approaches that advance materials discovery, modeling, design, and experimentation. Priority will be given to candidates who demonstrate a strong record of interdisciplinary research and collaboration with experimental scientists.

Located on Hunter College's 68th Street campus on Manhattan's Upper East Side, the Department of Computer Science provides an open and collegial environment in which faculty work closely with students and collaborators across Hunter College and CUNY.

Areas of interest include, but are not limited to:

• Novel AI methods, including approaches beyond conventional machine learning, for accelerating molecular and materials research.
• AI methods for scientific discovery, knowledge generation, and optimization of materials and processes.
• AI-accelerated modeling of strongly correlated electronic systems.
• Predictive modeling of self-organizing and bioinspired materials.
• Autonomous and AI-guided experimental workflows for materials discovery and characterization.

The successful candidate will be expected to establish and sustain a robust, externally funded research program; contribute to undergraduate and graduate teaching and mentoring; develop new educational programming at the intersection of AI and materials science; and participate in departmental and College service. The candidate will also be expected to collaborate with experimental researchers to translate computational advances into practical laboratory applications and to foster multidisciplinary research and educational partnerships across Hunter College and CUNY.

The position builds on Hunter's strengths in artificial intelligence, bioinformatics, cybersecurity, and computational modeling while leveraging CUNY's broader research ecosystem. This ecosystem includes the Advanced Science Research Center ( ASRC ), the ASRC CAT program supporting academic-industry partnerships, Empire AI , and the NSF-funded AI-BIOME Cloud Lab , which provides a platform for developing and deploying AI-driven autonomous experimentation and closed-loop materials discovery.

Faculty in Hunter College's Department of Computer Science are generally eligible for appointment to the doctoral faculty of the Computer Science Program at the CUNY Graduate Center, providing opportunities to teach doctoral courses and advise Ph.D. students.

QUALIFICATIONS

Ph.D. (or foreign equivalent) in computer science, or closely related field.

Preferred Qualifications

• Strong research record in AI for scientific discovery, particularly in materials science, chemistry, or closely related fields.
• Expertise in developing novel AI methods to accelerate scientific discovery, such as applications in materials and molecular discovery, design, and prediction, using approaches such as generative modeling, representation learning, or structure–property modeling.
• Experience developing AI-guided scientific workflows, including autonomous experimentation, agentic AI, tool-augmented models, or closed-loop discovery systems.
• Demonstrated ability to integrate AI and computational methods with experimental science, working across disciplines to generate hypotheses, guide experiments, and accelerate scientific discovery.
• Evidence of research leadership, including the ability to establish an externally funded interdisciplinary research program and mentor students and researchers.
• Candidates must be legally authorized to work full-time in the United States.

COMPENSATION

Salary commensurate with academic accomplishments and experience within the range of the title.

Assistant Professor: $89,777 - $112,841

Associate Professor: $109,519 - $133,558

CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.

HOW TO APPLY

*Only applications submitted through CUNYfirst will be considered for this position.*

If you are viewing this job posting in CUNYfirst, please click on "Apply Now" at the bottom of this page and follow the instructions.

If you are viewing this job posting externally, please apply as follows:

• Go to https://cuny.jobs/
• Search for Job Opening ID number # 32884
• Click on the “Apply Now” button and follow the instructions

Applications must include the following as a single PDF documen t:

• Cover Letter
• Curriculum Vitae including Publication List
• Research Statement (maximum 2 pages)
• Teaching Statement (maximum 2 pages)
• Mentoring Statement (maximum 2 pages)

*Names and contact information of three persons who could provide Letters of Reference*

CLOSING DATE

Open until filled with the review of applications to begin on November 1, 2026.

JOB SEARCH CATEGORY

CUNY Job Posting: Faculty

EQUAL EMPLOYMENT OPPORTUNITY

CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.

Job ID: 32884

Location: Hunter College

Job Type: Full-Time