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  2. Postdoctoral Researcher Geophysical Subsurface Imaging, AI, and Digital Twins

Postdoctoral Researcher Geophysical Subsurface Imaging, AI, and Digital Twins

Postdoctoral Researcher
Geophysical Subsurface Imaging, AI, and Digital Twins

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  • Hi! Are you my
    new colleague?
    Freek van der Meer
  • Hi! Are you my
    new colleague?
    Mariana Belgiu
  • Hi! Are you my
    new colleague?
    Roshanak Darvish
  • Hi! Are you my
    new colleague?
    Chris Hecker
  • Hi! Are you my
    new colleague?
    Jaap Zevenbergen
  • Hi! Are you my
    new colleague?
    Kemunto Kioko
  • Hi! Are you my
    new colleague?
    Nona Gaies
  • Hi! Are you my
    new colleague?
    Juan Carlos Afonso

Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 4,251 - € 5,760
  • Deadline
    31 Oct 2026

The University of Twente, Faculty ITC, wishes to increase the number of women in the faculty to have a more balanced staff profile. During all phases of the selection process, we will therefore prioritize selecting women who fit the profile.

Your challenge

Changing environmental conditions such as soil moisture, temperature, and subsurface heterogeneity strongly influence the quality of geophysical observations. Improving our ability to image and monitor the subsurface is essential for applications in infrastructure management, environmental monitoring, climate adaptation, and sustainable urban development.

You will develop and apply advanced methods for subsurface characterization by combining geophysical sensing, physical modelling, and artificial intelligence. You will:

· design and conduct research using geophysical techniques such as Ground Penetrating Radar (GPR), Electrical Resistivity Tomography (ERT), seismic, and electromagnetic methods;

· analyse and integrate geophysical datasets to characterize subsurface structures, buried infrastructure, and material properties;

· develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction;

· build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches;

· contribute to the development of dynamic digital twins for subsurface monitoring, forecasting, and decision support;

· collaborate with researchers and external stakeholders, publish results in leading journals, and present findings at international conferences.

The project offers the opportunity to work at the intersection of geophysics, AI, and digital twinning, contributing to next-generation technologies for understanding and managing the subsurface.

This position is embedded within the national Sectorplan Earth and Environmental Sciences (AMW) programme and contributes to strategic research investments addressing climate resilience, environmental monitoring, and sustainable infrastructure management.

Your profile

  • A PhD in Geophysics, Applied Geophysics, Earth Sciences, Engineering Geology, Civil Engineering, Remote Sensing, or a related field.
  • Experience with one or more geophysical sensing or imaging techniques (e.g. GPR, seismic methods, ERT, EM methods).
  • Demonstrated experience in quantitative data analysis and scientific programming (e.g. Python, MATLAB, R, or similar).
  • A strong publication record relative to career stage.
  • Excellent communication and scientific writing skills in English.
  • Ability to work independently while contributing to a collaborative and interdisciplinary team.
  • An enthusiastic researcher who enjoys combining scientific innovation with practical applications.

The following experiences are a pré:

  • Seismic imaging, inversion, migration, or advanced geophysical interpretation.
  • Ground Penetrating Radar (GPR) applications and signal processing.
  • Image and signal processing for geophysical datasets.
  • Machine learning or deep learning applied to geoscience and subsurface characterization.
  • Geological scenario modelling, uncertainty quantification, or predictive subsurface modelling.
  • Data fusion and integration of multiple sensing techniques.
  • Digital twins, environmental process modelling, or infrastructure monitoring applications.

The ideal candidate has a strong background in geophysical imaging and data analysis, combined with an interest in emerging AI methodologies. You are curious, collaborative, and motivated to develop innovative solutions for complex subsurface challenges. While the scientific core of the project lies in advancing geophysical imaging and interpretation, the outcomes are expected to contribute directly to climate-resilient infrastructure management and environmental monitoring.

Our offer

  • A stimulating international research and academic environment, access to innovative experimental facilities, and the opportunity to contribute to modern research at the intersection of geophysics, artificial intelligence, and digital twins
  • A dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda
  • Full-time position for three years
  • Gross monthly salary between € 4,251.00 and € 5,760.00 per month, depending on experience and qualifications (UFO profile Researcher 4)
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
  • Assistance in applying for the 30% ruling (a possible tax deduction for foreigners)
  • Excellent support for research and facilities for professional and personal development
  • A solid pension scheme
  • A total of 41 holiday days per year in the case of full-time employment
  • Excellent working conditions, an exciting scientific environment, and a lively green campus
  • Free access to sports facilities on campus.

Information and application

For more information, you may contact Prof Dr M. van der Meijde (e-mail: m.vandermeijde@utwente.nl) or Dr Ir L.L. Olde Scholtenhuis (e-mail: l.l.oldescholtenhuis@utwente.nl). You are also invited to visit our homepage.

Please submit your application before 1 November 2026 including:

A motivation letter (maximum 2 A4 pages) clearly emphasizing your specific interest, qualifications and motivation to apply for this position.

Applications that do not include the above-mentioned information will not be considered.

The interviews will take place on 16 and/or 17 November 2026.

Screening is part of the selection procedure.

For questions about working and living in the Netherlands, please consult the official website of the Dutch Government or the Expat Center East Netherlands website.

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About the department

The research will be conducted at the University of Twente FieldLab, a unique experimental facility designed for both controlled and real-world subsurface investigations. The FieldLab offers instrumented test sites, advanced geophysical monitoring capabilities, semi-controlled hydrological conditions, and opportunities to study environmental dynamics over time.

The project brings together expertise from geophysics, engineering, environmental sciences, and artificial intelligence, offering an excellent environment for interdisciplinary research and collaboration.

This position is jointly hosted by the Department of Geosciences (faculty ITC) and the Department of Civil Engineering and Management (faculty ET) at the University of Twente. The Department of Geosciences is internationally recognised for its research on subsurface characterization, Earth observation, geophysics, geoinformatics, and sustainable management of natural resources. The Department of Civil Engineering and Management contributes expertise in infrastructure systems, asset management, digitalisation, and data-driven approaches for monitoring and decision support in the built environment. Together, the two departments offer a highly interdisciplinary research environment at the interface of geoscience, engineering, artificial intelligence, and digital twins.

About the organisation

The Faculty of Geo-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science and earth observation. Our mission is capacity development, where we apply, share and facilitate the effective use of geo-information and earth observation knowledge and tools for tackling global wicked problems. Our purpose is to enable our many partners around the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across disciplinary and geographic divides with governmental and non-governmental organisations, institutes, businesses, and local populations to surmount today’s complex global challenges and to contribute to sustainable, fair, and digital societies.

Want to know more?

Scholtenhuis, L.L. olde (Léon)

Scholtenhuis, L.L. olde (Léon)
Associate Professor

Scholtenhuis, L.L. olde (Léon)
Associate Professor

Do you have questions about this vacancy? Then you can contact Léon for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues

About the faculty ITC 

Curious about were the Faculty of Geo-Information Science and Earth Observation (ITC) stands for? Check out the ITC website for more information.

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