Tenure Track Faculty in Physics AI/ML

The School of Physics and Astronomy at the Rochester Institute of Technology invites applications for a Tenure Track (TT) position in physics, with a specialization in the development and implementation of techniques of Artificial Intelligence (AI) and Machine Learning (ML) across one or more areas of physics, to begin in Fall 2026. This TT position is supported in part by one of the world’s leading funders of fundamental scientific research: the Simons Foundation as part of the Simons Empire Faculty Fellows Program to stimulate faculty hiring across New York State. The candidate for the position will work at the intersection of physics, astrophysics, biotechnology, materials science, computational and experimental modeling, and AI and will focus on pushing the boundaries of AI for real-world applications in predictive modelling and data analysis techniques. The candidate will focus on applying and developing physics-informed and physics-embedded AI/ML methods to, for example, design new materials and technologies through data-driven modeling and simulation, pattern recognition, brain-inspired or spiking neural network approaches, predicting material properties, optimizing processing parameters for next-generation energy technologies, analysis of “big data” generated from astronomical observations, as well as pushing the boundaries of artificial intelligence research. Applicants are expected to have the demonstrated ability, or strong potential, to establish and maintain a vigorous, externally funded research program that incorporates undergraduate, graduate, and postdoctoral researchers. Applicants must have a Ph.D. in physics, astronomy, or other closely related fields. Postdoctoral experience is preferred. Candidates must have strong communication skills and demonstrate an overall commitment to the educational, research, and teaching mission of the School of Physics and Astronomy. For full job description and to apply visit https://apptrkr.com/6717435