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

Opportunity summary

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

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