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Marcel Thielmann

Professor of Geodynamics

Rheinische Friedrich-Wilhelms-Universität Bonn

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Germany

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Research Interests

Uncertainty Analysis

10%

Machine Learning

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Computational Science

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Computer Science

10%

Geodynamics

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Positions1

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Marcel Thielmann

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Rheinische Friedrich-Wilhelms-Universität Bonn

PhD Position in Geodynamics and Machine Learning at University of Bonn

A PhD position is available in Geodynamics at the Rheinische Friedrich-Wilhelms-Universität Bonn, Germany. The research focuses on quantifying uncertainties in geodynamic models using machine learning techniques. This interdisciplinary project combines Earth Science, computational geoscience, and advanced data-driven methods to address key challenges in understanding Earth's dynamic processes. The position is supervised by Professor Marcel Thielmann, a leading academic in the field of Geodynamics. The University of Bonn is recognized as an Excellence University in Germany, offering a vibrant research environment and access to state-of-the-art facilities. The project aims to develop and apply machine learning approaches to improve the reliability and predictive power of geodynamic simulations, with potential applications in tectonics, mantle convection, and related areas. Applicants should have a strong background in geosciences, physics, or a related discipline, and demonstrate experience or interest in computational modeling and machine learning. Proficiency in English is required. The application deadline is open until filled, with review of applications beginning on 15th February 2026. For more information and to apply, candidates should visit the provided link to the official position page. While specific funding details are not mentioned, PhD positions in Germany typically include a stipend and may cover tuition fees. The University of Bonn supports young researchers and offers numerous opportunities for academic and professional development. This position is ideal for candidates interested in interdisciplinary research at the intersection of geoscience and artificial intelligence.