Associate or Full Professor – Computational Materials Science FACULTY VACANCY ANNOUNCEMENT The City College of New York is pleased to announce a faculty search as part of the CUNY Martin S. Spergel Initiative supported by the Simons Foundation. The CCNY Department of Chemistry and Biochemistry seeks a mid- to senior-career hire (Associate/Full Professor) in Computational Chemistry/Materials Science, or closely
related field. The successful candidate will join the CUNY AI-Biome Initiative, a new multi-campus research effort building on research strengths in bio-inspired materials, sustainable chemistry, nanotechnology and computational chemistry, with a focus on integrating artificial intelligence, and autonomous experimentation to accelerate data-driven molecular materials discovery and sustainable manufacturing. The
appointee will coordinate computational efforts within the AI-Biome cluster and play a leadership role in shaping this interdisciplinary research community. Desired areas of expertise may include, but are not limited to: Familiarity with universal descriptors for structure/reactivity of surfaces and interfaces. Development of accurate, efficient, and transferable many-body potentials. AI-accelerated modeling of
strongly correlated electronic systems. Predictive modeling for self-organizing and bioinspired materials. Autonomous and AI-guided experimental workflows for materials discovery. The successful candidate will collaborate with experimental groups across CUNY, including the Advanced Science Research Center (ASRC) build partnerships and work with external organizations, including Empire AI. In addition to developing an
independent research program, the selected faculty member will play a key role in recruiting and mentoring three new Assistant Professors in complementary areas of materials science, AI-driven scientific discovery, and sustainable design, helping to shape the long-term vision of the AI-Biome initiative. The position aligns with CCNY’s strengths in sustainable energy materials, catalysis, molecular assemblies, and
quantum materials, and leverages CUNY’s collaborative network, including CUNY’s Advanced Science Research Center, the ASRC CAT program that supports industry partnerships, the newly established Empire AI program, and highly active external funding programs (including PhD training) supported by Federal agencies such NSF, NIH, DoD, and DoE, and major foundations. Applicants for this position would demonstrate an
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