Ata Ur Rehman
2 months ago
PhD Position in Applied Geology and Deep Learning at Friedrich Schiller University Jena Friedrich Schiller University Jena in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
The position offers a TV-L E13 salary (up to full scale), 30+ days of vacation, family support, and interdisciplinary training for both academic and industry careers. No tuition fees are mentioned; the position is fully funded as a scientific researcher for three years at 30 hours per week.
Deadline
Expired
Country
Germany
University
Friedrich Schiller University Jena

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About this position
Friedrich Schiller University Jena in Germany is offering a fully funded PhD position in Applied Geology at the Institute of Geosciences, starting March 1, 2026. The research focuses on upscaling geological heterogeneity at the pore scale using deep learning, with the development of advanced DL workflows, digital rock twins, X-ray CT analysis, flow simulations, and validation techniques such as porosity, permeability, NMR, and MICP. The project is supervised by Dr. Saeid Sadeghnejad and Prof. Dr. Thorsten Schäfer, both affiliated with Friedrich Schiller University Jena.
Applicants should have a Master’s degree in Geosciences, Environmental Engineering, Reservoir Engineering, or a closely related field. Essential skills include deep learning or machine learning, pore-scale modeling, Python programming, and experience with micro X-ray CT. Fluency in English is required, while German language skills are considered an asset.
The position is funded at the TV-L E13 salary scale (up to full scale), with a contract for three years at 30 hours per week. Additional benefits include over 30 days of vacation, family support, and interdisciplinary training opportunities for both academic and industry career paths. The application deadline is December 28, 2025.
To apply, candidates should submit their application via the official university job portal. For more information, refer to the official job posting and the provided links. This opportunity is ideal for candidates interested in combining geosciences with advanced computational methods such as deep learning and digital rock physics.
Funding details
The position offers a TV-L E13 salary (up to full scale), 30+ days of vacation, family support, and interdisciplinary training for both academic and industry careers. No tuition fees are mentioned; the position is fully funded as a scientific researcher for three years at 30 hours per week.
What's required
Applicants must hold a Master's degree in Geosciences, Environmental Engineering, Reservoir Engineering, or a related field. Strong skills in deep learning or machine learning, pore-scale modeling, Python programming, and micro X-ray CT are required. Fluency in English is mandatory, while knowledge of German is beneficial.
How to apply
Apply via the official university job portal using the provided link. Prepare your application documents as required by the university. Ensure submission before the deadline of December 28, 2025.
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