PhD Position in Bayesian Hierarchical Modeling for Climate Reconstruction University of Wuppertal in Germany

The University of Wuppertal in Germany is offering a fully funded PhD position (Research Assistant) in the group of Prof. Dr. Peter Zaspel, starting March 1, 2026. This opportunity is part of the DFG-funded ICEBAY research project, which aims to advance Bayesian hierarchical modeling and probabilistic inference for climate reconstruction by integrating borehole thermometry and ice-core data. The project is highly interdisciplinary, bridging computer science and mathematics, and focuses on solving complex, coupled inverse problems with explicit uncertainty quantification.

The successful candidate will develop and apply advanced probabilistic inference methods and machine learning techniques to model uncertainty and integrate heterogeneous climate data. The research will contribute to climate reconstruction and involve collaboration with an international team working on probabilistic modeling, uncertainty quantification, and high-performance computing, with applications spanning the natural and engineering sciences. The position also includes teaching duties (one semester hour per week) and supervision of term papers and theses.

Applicants should hold a completed Master’s degree (or equivalent) in computer science, mathematics, physics, or data science. Essential qualifications include strong analytical skills in statistics, machine learning, and/or numerical mathematics, as well as proficiency in programming languages such as Python or C/C++. Experience in Bayesian inference or hierarchical modeling is highly desirable. A good command of English is required, as it is the working language of the team. The ideal candidate will be proactive, motivated, able to work independently, and enjoy teaching.

Employment is governed by the German Academic Fixed-Term Contract Act (WissZeitVG) and supports doctoral qualification. The position is full-time (part-time possible), initially limited to three years, with the possibility of extension for completion of the doctorate. Salary is paid according to TV-L E13. As part of the application process, candidates must complete a scientific programming task relevant to Bayesian inference for climate reconstruction (see details).

To apply, submit a motivation letter, CV, proof of graduation, relevant certificates or references, and (if available) your Bachelor’s or Master’s thesis, along with the completed programming task. Applications should be submitted via the University of Wuppertal’s online portal (link) under reference number 25354 by January 19, 2026. For further information, contact Prof. Dr. Peter Zaspel at [email protected]. Additional details about the position and application process can be found on the DAAD portal.