Postdoc Research Associate — ML-Driven FEM for Materials

A prestigious research institution in Salt Lake City is seeking a Post Doc Res Assoc for a 1-year position in interdisciplinary research involving machine learning and finite element methods. The successful candidate will work closely with the Air Force Research Laboratory and ARCTOS, focusing on software development within the JAX Python library. Candidates should have experience in applied mathematics or computational sciences, preferably with a background in machine learning. The role offers a salary range of $60K to $70K based on experience, along with additional benefits. #J-18808-Ljbffr