Postdoctoral Scholar in Machine Learning for Autonomous Thin-Film Materials Synthesis

The Department of Materials Science and Engineering at Penn State is looking for a postdoctoral scholar to engage in machine learning for autonomous thin-film materials synthesis via molecular beam epitaxy (MBE). The role involves integrating existing MBE systems into the LATTICE ecosystem, focusing on AI/ML workflows and collaboration with researchers and vendors. A Ph.D. in Materials Science, Physics, or a related field is required, along with hands-on MBE experience. Preferred qualifications include familiarity with semiconductor materials and programming skills in Python.