Jobs · Administrative · New York

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

The City University of New York · New York, NY · 6 days ago
Administrative$90k–$113k/yrFull-time

Hunter College invites applications for a tenure‑track faculty position in the Department of Computer Science at the Assistant or Associate Professor rank (exceptional candidates at the Professor rank may also be considered), beginning August 2027. The role is part of the CUNY Martin S. Spergel Initiative, supported by the Simons Foundation, and seeks researchers at the intersection of artificial intelligence and materials science who develop novel AI methods and computational approaches to advance materials discovery, modeling, design, and experimentation. Priority is given to candidates with a strong record of interdisciplinary research and collaboration with experimental scientists. The department offers a collegial environment on Hunter’s 68th Street campus in Manhattan, with access to CUNY’s broader research ecosystem including the Advanced Science Research Center (ASRC), the ASRC CAT program, Empire AI, and the NSF‑funded AI‑BIOME Cloud Lab for autonomous experimentation and closed‑loop materials discovery. Faculty are generally eligible for appointment to the doctoral faculty of the Computer Science Program at the CUNY Graduate Center, enabling doctoral teaching and Ph.D. advising.

Areas of interest

  • 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

Responsibilities

  • 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
  • Participate in departmental and College service
  • Collaborate with experimental researchers to translate computational advances into practical laboratory applications
  • Foster multidisciplinary research and educational partnerships across Hunter College and CUNY

Qualifications

  • Ph.D. (or foreign equivalent) in computer science or a closely related field
  • Must be legally authorized to work full‑time in the United States

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 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

Compensation

Salary is commensurate with academic accomplishments and experience within the title range:

  • Assistant Professor: $89,777 – $112,841
  • Associate Professor: $109,519 – $133,558

Benefits

  • Health insurance
  • Pension and retirement benefits
  • Paid parental leave
  • Savings programs
  • Mentoring and support for research, scholarship, and publication as part of ongoing faculty professional development

Location: Hunter College, 68th Street campus, Manhattan, NY. Full‑time position. Review of applications begins November 1, 2026; open until filled.

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