We have an opening for a Postdoctoral Researcher with a research track-record in physical sciences with interest in career growth in optimization, machine learning, automatic differentiation, and computational inverse problems. The position combines physics and optimization experience to promote scientific and programmatic growth within the strengths of the group. Specific investigations include combining complex hydrodynamics models with computational approaches to facilitate large-scale investigations and machine learning-based design optimization. You will actively participate in research that includes Richtmyer-Meshkov and other instabilities; model development describing fundamental, dynamic processes; and multi-scale and continuum computational investi