Aarhus University
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Postdoctoral Position in Physics-Driven Machine Learning for Transient Electromagnetic Data for Subsurface Imaging Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 10, 2026
Country
Denmark
University
Aarhus University

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About this position
Postdoctoral position at Aarhus University in physics-driven machine learning for transient electromagnetic (TEM) data and subsurface imaging.
The project is based in the Department of Electrical and Computer Engineering, within the Signal Processing and Machine Learning section, and is linked to the Hydrogeophysics Group at the Department of Geoscience. The research focuses on ground-based, airborne, and drone-based TEM data, using the fully differentiable TEM forward-modelling framework anEMone implemented in PyTorch.
The postdoc will develop supervised and self-supervised deep learning methods for TEM inversion, physics-based loss functions, and computationally efficient models for near-real-time or real-time use. The work combines electromagnetic physics, inverse problems, scientific machine learning, and geophysical data analysis, with collaboration from the industrial partner TEMcompany.
Eligibility highlights: PhD in electrical engineering, computer engineering, computer science, applied mathematics, geophysics, physics, or a related field; strong deep learning experience (e.g. CNNs, UNets, Transformers); strong Python and PyTorch skills; experience with scientific computing, numerical modelling, or inverse problems; strong publication record; and excellent English communication skills. Experience with physics-informed learning, TEM modelling/inversion, and geophysical datasets is an advantage.
Funding and terms: full-time fixed-term postdoc for 2 years, starting 1 January 2027 or as soon as possible thereafter. Salary and employment conditions follow Danish collective agreements. The post also mentions relocation support and practical assistance with housing, childcare, and integration.
Deadline: 10 September 2026, 23:59 CEST.
How to apply: Submit the application via Aarhus University’s recruitment system using the job advertisement link. Prepare the required documents in English, including CV, degree certificate, publication list, research plan, research activities, and teaching portfolio if applicable.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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