Associate or Full Professor – Computational Materials Science

About the role

The City College of New York is seeking a mid- to senior-career hire (Associate/Full Professor) in Computational Chemistry/Materials Science, or closely related field, as part of the CUNY Martin S. Spergel Initiative supported by the Simons Foundation.

Responsibilities

• Join the CUNY AI-Biome Initiative, a new multi-campus research effort focusing on bio-inspired materials, sustainable chemistry, nanotechnology, and computational chemistry.
• Coordinate computational efforts within the AI-Biome cluster and lead interdisciplinary research initiatives.
• Develop and apply AI, machine learning, and quantum methods to materials design and discovery.
• Collaborate with experimental groups across CUNY, including the Advanced Science Research Center (ASRC), and external organizations like Empire AI.
• Recruit and mentor three new Assistant Professors in complementary areas of materials science, AI-driven scientific discovery, and sustainable design.
• Contribute to the advancement of the department and college by sustaining a robust, externally funded research program; engaging in undergraduate and graduate teaching and mentoring; and fostering multidisciplinary research and educational collaborations.

Requirements

• Ph.D. (or foreign equivalent) in computational chemistry/materials science, or closely related field.
• Strong record of research performance in computational materials science.
• Established leadership in the field, with evidence of interdisciplinary activities.
• Demonstrated ability to secure external funding and manage a research group.
• Significant postdoctoral and managerial research experience in the relevant field.
• Experience mentoring student researchers and university-level teaching.
• Expertise applying AI, machine learning, or quantum methods to materials design.
• Background in modeling complex molecular systems, self-assembly, or surfaces/interfaces.
• Legal authorization to work full-time in the United States.

Qualifications

• For Associate or Full Professor: Ph.D. (or foreign equivalent) in computational chemistry/materials science, or closely related field.
• Preferred qualifications include:
• Strong record of research performance in computational materials science.
• Established leadership in the field, with evidence of interdisciplinary activities.
• Demonstrated ability to secure external funding and manage a research group.
• Significant postdoctoral and managerial research experience in the relevant field.
• Experience mentoring student researchers and university-level teaching.
• Expertise applying AI, machine learning, or quantum methods to materials design.
• Background in modeling complex molecular systems, self-assembly, or surfaces/interfaces.

Pay

• Associate Professor: $121,194 - $129,041
• Full Professor: $122,201 - $155,388

Schedule

• Full-time position.

Benefits

• Competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs.
• Mentoring and support for research, scholarship, and publication as part of ongoing faculty professional development.