A Physics-Informed Machine Learning Framework for Geology-Constrained Gravity and Magnetic Inversion
University of Western Australia
Australia
Summary
PhD opportunity in physics-informed ML for geology-constrained gravity and magnetic inversion. Create 3D inversions with PINNs, generate realistic synthetic training data, address non-uniqueness, and advance mineral exploration analytics. Collaborative, interdisciplinary research.
