Postdoc in First-Principles Modelling and Machine-Learned Force Fields for Correlated Disorder in Energy Materials

Aarhus University is seeking a postdoctoral researcher in computational materials chemistry. The position involves developing atomistic models to study correlated structural disorder in energy materials, utilizing density functional theory and machine learning. The successful candidate will work primarily at TU Wien and collaborate with experimental researchers. Applicants must hold a PhD in a relevant field and demonstrate strong experience in first-principles calculations and machine learning techniques.