About this role
Post-Doctoral Research Associate – Computational Materials Science and Machine Learning: This position involves computational research on nuclear materials, with an emphasis on f-elements (lanthanides and actinides), molten salts, interfacial science, and energy-related processes within a multi-scale modeling framework. The main task focuses on developing and using machine learning interatomic potentials, advanced free energy simulations, and high-performance computing to predict chemical and materials properties, such as thermochemical behaviors and interfacial interactions relevant to nuclear applications.