Postdoctoral Position in Computational Materials Physics

The Physics and Engineering Physics Department at Tulane University and Los Alamos National Laboratory are seeking a postdoctoral researcher to apply first-principles density functional theory and machine learning techniques for the discovery of novel 2D d-electron materials. The role involves developing TDDFT models for magnonic excitations, creating computational workflows, and collaborating with a team of condensed matter theory and experimental scientists. This position aims to unravel fundamental properties of these systems and establish new routes to quantum information devices.