Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion

Aarhus University (AU); Denmark; On-site; DKK 680,000 - 840,000; Full time

Job summary

Aarhus University, Department of Geoscience, HydroGeophysics Group (HGG), invites applications for a 2-year Assistant Professor position starting December 1, 2026 or shortly thereafter. The successful candidate will join DREAM, a drone-based TEM project aimed at developing high‑resolution subsurface mapping with an ultra‑lightweight system.

The role focuses on developing novel signal‑processing methodologies for TEM data, leading data acquisition, processing, modelling and inversion activities,

Qualifications

• PhD in Geophysics, Electrical Engineering, Physics, Applied Mathematics or related discipline.
• Expertise in TEM forward modelling and inversion.
• Experience implementing numerical solutions for EM field problems.
• Experience with TEM data in time and Fourier domains.
• Spectral analysis, signal processing and data processing methodologies.
• TEM field data acquisition, processing and interpretation.
• Strong programming skills; Advanced Python; PyTorch / GPU HPC advantageous.
• Strong analytical and quantitative skills.
• Excellent English, both oral and written.
• Publications in international journals.
• Experience presenting at conferences.
• Ability to work in interdisciplinary teams.

Responsibilities

• Develop advanced signal-processing methodologies for transient electromagnetic data.
• Develop TEM forward modelling and inversion algorithms.
• Develop processing methodologies for time-domain and Fourier-domain representations.
• Research spectral analysis, signal characterisation, noise suppression and data compression for TEM systems.
• Integrate numerical methods into real-time drone-based TEM acquisition workflows.
• Collaborate with engineering teams during prototype development and field testing.
• Plan and execute TEM field campaigns and validation experiments.
• Disseminate results through scientific publications and presentations.

Skills

Strong programming skills

Advanced Python

PyTorch

GPU computing

Analytical skills

Quantitative skills

Education

PhD in Geophysics or related

Tools

PyTorch

GPU computing

Job description

A 2-year Assistant Professor position is available from December 1, 2026 or shortly thereafter at Aarhus University, Department of Geoscience, HydroGeophysics Group (HGG). The position is funded through the DREAM project (DRone-based Electromagnetic Aerial Mapping), supported by Innovation Fund Denmark.

DREAM is an interdisciplinary research and innovation project aimed at developing the world's first ultra‑lightweight drone transient electromagnetic (TEM) system for high‑resolution subsurface mapping. The project combines novel instrumentation, advanced signal processing, real‑time physics‑based machine learning, multidimensional inversion, and probabilistic geological modelling to enable efficient mapping in previously inaccessible terrains. The successful candidate will be employed primarily in research that focuses on developing novel signal‑processing methodologies for drone‑based TEM systems, working closely with researchers from the Department of Geoscience, the Department of Electrical and Computer Engineering, and industrial partners involved in the development of the DREAM platform.

Job assignments

The candidate will become part of a multidisciplinary team of scientists, engineers, software developers and geophysicists working on the development of next‑generation airborne geophysical technologies. The position focuses on advanced numerical developments for transient electromagnetic systems and close integration with hardware development activities. The assistant professor will also be expected to lead data acquisition, processing, modelling and inversion activities related to DREAM and other TEM‐related projects within HGG, publish scientific results in international peer‑reviewed journals, present results at international conferences and workshops, and contribute to the supervision of PhD, MSc and BSc students.

• Development of advanced signal‑processing methodologies for transient electromagnetic data.
• Development of transient electromagnetic forward modelling and inversion algorithms.
• Development of processing methodologies operating in both time‑domain and Fourier‑domain representations.
• Research on spectral analysis, signal characterisation, noise suppression and data compression techniques for TEM systems.
• Integration of numerical methods into real‑time drone‑based TEM acquisition workflows.
• Participation in the design, testing and evaluation of next‑generation drone‑based TEM instrumentation.
• Close collaboration with engineering teams during iterative prototype development and field testing.
• Planning and execution of TEM field campaigns and validation experiments.
• Communication and dissemination of research results through scientific publications and presentations.

Required qualifications for the position

• PhD degree in Geophysics, Electrical Engineering, Physics, Applied Mathematics or a related discipline.
• Demonstrated expertise in transient electromagnetic (TEM) forward modelling and inversion.
• Experience implementing numerical solutions to electromagnetic field problems.
• Experience working with electromagnetic methods in both time and Fourier domains.
• Significant experience in spectral analysis, signal processing and advanced data processing methodologies.
• Proven experience with TEM field data acquisition, processing and interpretation.
• Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU implementations or other high‑performance computing is an advantage.
• Strong analytical and quantitative skills.
• Excellent English skills, both oral and written.
• Demonstrated scientific productivity through peer‑reviewed publications in recognised international journals.
• Experience presenting scientific results at conferences and workshops.
• Ability to work effectively in interdisciplinary teams spanning geophysics, engineering and software development.

Place of Employment and Place of Work

The place of employment is Aarhus University, and the place of work is Department of Geoscience, Høegh‑Guldbergs Gade 2, DK‑8000 Aarhus, Denmark.

Further information

Applicants are encouraged to contact Associate Professor Denys Grombacher, Department of Geoscience, [e-mail], for additional information.

Deadline

All applications must be received no later than 1 September 2026.