Postdoctoral Researcher Geophysical Subsurface Imaging, AI, and Digital Twins
University of Twente
Job description 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
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Source visited 6 Oct 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
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Vacancy terms
- Career stage
- Postdoctoral researcher
- Employment type
- full-time
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Not stated
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- Not recorded
- Department or school
- Not stated
- Posted
- 23 Sept 2026
Responsibilities
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Qualifications and requirements
Qualifications
- 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.
Requirements
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Documents and steps
Documents
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Steps
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Sources behind this vacancy
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Postdoctoral Researcher Geophysical Subsurface Imaging, AI, and Digital Twins
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