Postdoctoral position in physics-driven machine learning for transient electromagnetic data for subsurface imaging

Official occupation: Post doc., naturvidenskab og teknik. Employment conditions: Almindelige vilkår. Employer CVR: 31119103.

Primary career market

Public Sector, Education & Impact (occupation evidence). 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.

We are looking for a motivated postdoc to lead cutting-edge research that combines methodological development with practical deployment within a large Innovation Fund Denmark Grand Solutions project. Expected start date and duration of employment This is a 2-year position from January 1, 2027, or as soon possible. This is a fixed-term position to end 24 months after the start date.

Job description The postdoc position focuses on physics-driven machine learning methods for ground-based, airborne and drone-based transient electromagnetic (TEM) data1 …