Physics Informed Data Analytics and Modeling for Dynamical Systems

This research opportunity involves development of computational approaches to model the state and response of complex dynamical systems under uncertainty. Candidates should have a background in modeling and numerical solution of response of complex multi-physics systems represented by parameterized partial differential equations. Knowledge of mathematical approaches to address uncertainty in such systems is a key need. Experience with combining modern data analytics methods, such as machine learning and deep learning, with physic...