University of Stuggart Postdoc in Earth Science 2025

Dr. Anneli Guthke, leader of the research group on statistical model-data integration at the Stuttgart Center of Simulation Science (SC SimTech), seeks an enthusiastic postdoctoral researcher for the project “UNI-BENCH: Diagnostic benchmarking of hybrid hydrological models”. Contribute to advances in hybrid modeling in Earth Science and beyond!

Table of Content

• Summary
• Benefits
• Requirments
• Application Deadline
• How To Apply

Summary

• Application DeadlineSeptember 21, 2025
• Study LevelPostdoctoral Fellowships
• SponsorUniversity of Stuttgart
• City to studyBaden-Württemberg
• School to studyUniversity of Stuttgart
• Eligible CountryAll Countries

Benefits

• Internationally renowned expertise in environmental/hydrological modelling, hybrid modelling, uncertainty quantification and information theory
• An inspirational and supportive research environment at the Cluster of Excellence SimTech embedded in the SC SimTech and KIT with ample networking opportunities
• Membership in the Graduate Academy of the SC SimTech
• Three-month paid research stay at the University of Arizona/USA
• One-month paid research stay at the Interdisciplinary Transformation University Austria in Linz
• A nationally and internationally well-connected research group
• Fully funded conference visits (within Europe and overseas)
• A growing interdisciplinary and intercultural team
• Coaching to support further steps in your academic/professional career

Requirements

• Very good PhD degree in hydrology, geosciences, environmental engineering, computer or data science, or related fields
• Demonstrated interest in research questions focused on at least one of the following: physics-based or data-driven modelling, model training and evaluation, model diagnostics, interpretability/explainability
• Previous experience in at least one of the following: coding algorithms, model building (physics-based, conceptual or data-driven), model calibration/uncertainty assessment, application of information-theoretic concepts
• Previous experience in at least one programming language common in quantitative fields
  (e.g., MATLAB, R, Python, Julia, or C++)
• Proficient English skills (spoken and written, C1 level); German skills are an asset (B1/B2 level)

Application Deadline

How To Apply

Contact Details:

• Contact person: Dr. Anneli Guthke 
• Mail: [email protected] 
• Phone: +49 711 685 60157 
• Website: https://www.simtech.uni-stuttgart.de/exc/people/Guthke/  

For more information, kindly visit University of Stuggart scholarship webpage.