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

Employment type: FULLTIME.

Ansøgningsfrist

10. sep. 23:59 CEST Forventet start 1. jan. Institut for Elektro- og Computerteknologi - Signal Processing and Machine learning - Edison Finlandsgade 22 8200 Aarhus N Tidsbegrænset fuldtidsstilling 1. jan. 2027 - 31. dec.

2028 ID

166628 Søg stillingen 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 …