Dr. Anneli Guthke, leader of the research group on “statistical model-data integration”, seeks an enthusiastic postdoctoral researcher for her project “GeoMod4Future: Sustainable modeling for the geosciences”. Geomodelling is a valuable tool for answering urgent questions about environmental systems, e.g. with respect to climate change or flood protection. Models are typically constructed with a specific purpose in mind, which limits their range of applicability. The aim of this project is to develop a fundamentally different, open-purpose type of model through an innovative combination of machine learning (ML) methods: neural stars. They can also be applied to unforeseen questions, thus saving resources in model (re-)building and modification, and enable an efficient handling of knowledge. This is a fundamental research idea in a very early phase which has received start-up funds by the Vector Stiftung in the call “MINT Innovationen 2024”. Join our group and contribute to a change in modeling practices in the Earth and Geosciences!

Your tasks (supported by a diverse team of experts):

• Develop a new ML model architecture in MATLAB, R or Python that learns relevant system behaviour in a compressed manner
• Develop and test a new model training scheme that focuses on “system understanding” instead of “modelling purpose”
• Demonstrate and evaluate the developed methods on a hydrological case study of a catchment in Luxembourg/Belgium
• Collaborate closely with Dr.-Ing. Uwe Ehret and his group “Information-based Hydrology” at the Karlsruhe Institute for Technology (KIT) in Karlsruhe, Germany, as well as with the Analytic Computing Group at the Institute of Artificial Intelligence at the University of Stuttgart and the Junior Research Group for Machine Learning and Artificial Intelligence at HITS in Heidelberg, Germany
• Publish research results in high-ranked open-access journals
• Present and discuss research results at international conferences

Application procedure:

“Please apply via the career portal of the University of Stuttgart and submit your complete application, including one-page motivation letter, academic CV, one letter of reference, as well as academic certificates, until August 31st, 2024. Ideally, the selected candidate will start this position on October 1st, 2024; at the latest, this position will be filled by the end of 2024.”

Information in accordance with Article 13 DS-GVO on the processing of applicant data can be found at https://careers.uni-stuttgart.de/content/privacy-policy/?locale=en_US.

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