Post-Doctoral Research Associate: Computational Materials Science and Machine Learning - UTK at University of Tennessee

The University of Tennessee is hiring a limited-term, approximately one-year research appointment in computational nuclear materials science, with possible renewal and a pathway to a permanent position. The role focuses on f-elements, molten salts, interfacial science, and energy-related processes using machine learning interatomic potentials, advanced free energy simulations, and high-performance computing. Responsibilities include developing and evaluating statistical and machine learning tools, collaborating with multidisciplinary teams, publishing refereed papers, and managing research projects. The position is onsite in Knoxville, Tennessee, with an anticipated hiring range of 70,000–75,000 and requires a relevant Ph.D. and a research track record in materials science, computational modeling, or chemistry.