Research Fellow (Physics-Informed Machine Learning)

The School of Mechanical and Aerospace Engineering (MAE) is seeking a Research Fellow to support research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing processes. This role involves developing machine learning frameworks that integrate physical principles with data-driven modeling to enhance thermal and mechanical simulations for metal additive manufacturing.