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. Duties include technical interactions with undergraduate and graduate students, contributing to and developing new research initiatives, writing peer-reviewed scientific journal articles, and technical management of research projects. The appointment would be a limited term appointment, approximately 1 year with the possibility of renewal for future years. The end goal after the appointment would be for you to secure a permanent position that is compatible with your interest.
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Job Type
Full-time
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees