Successful candidates for the “Machine Learning/AI in Chemistry” position will combine computational approaches with ML/AI to develop new models to predict the properties including reactivity of molecules and materials. Emphasis will be given to candidates that overlap with and enhance departmental strengths in our core areas of chemistry and biochemistry. These areas include protein structure and properties, medicinal chemistry, synthesis, and photochemistry. Additional areas of interest include novel chemicals and materials for catalysis, energy conversion and storage, and chemical sensing, as well as chemical spectroscopy image analysis.