Empire Innovation Professor (Associate / Full Professor) - AI Informed Materials Science Department of Material Science & Chemical Engineering (MSCE) & Institute for Advanced Computational Science (IACS) 

Deadline: Feb 26, 2027 at 11:59 PM Eastern Time

Expected start date: Fall 2027

For more information and how to apply, please click here for the posting.

We are seeking an innovative and highly-collaborative researcher focused on the development and applications of artificial intelligence and machine learning to advance the discovery and design of novel materials. The successful candidate will hold a joint appointment between the Department and IACS while engaging with Empire AI, which is a state-of-the-art AI computing center in New York State with an aim of facilitating statewide innovation, research, and development of AI technologies. Applicants with a strong record of excellence and commitment to undergraduate and graduate teaching, including the ability to teach new courses for the development of the Materials Engineering Undergraduate Program, and a proven record of securing competitive external  research funding. The Institute for Advanced Computational Science (IACS) sits at the forefront of data and computing, driving high-impact innovation across the physical, life, environmental, and social sciences, engineering, and the humanities. As an intellectually vibrant ecosystem, IACS unites a diverse, world-class community of core and affiliate faculty, postdocs, research scientists and students dedicated to advancing the fundamental foundations of supercomputing, data science, and artificial intelligence. By bridging traditional discipline boundaries and fostering interdisciplinary collaboration, the Institute empowers researchers to harness next-generation computational tools to solve humanity’s most pressing challenges.

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