Postdoctoral position in physics-driven machine learning for transient electromagnetic data for subsurface imaging
Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and drone-based transient electromagnetic (TEM) data. The project will build on anEMone, our fully differentiable TEM forward-modelling framework implemented in PyTorch, to develop supervised and self-supervised deep learning models that directly incorporate electromagnetic physics.
