Philipp Schultze
Research Assistent
Research Areas
- Conceptual Hydrological Modeling
- ML and DL approaches in Isotope Hydrology
- Large Reasoning Model applications in Hydrology
Regional Focus
- USA and Canada
- Luxembourg
- North Rhine-Westphalia
Philipp Schultze
3.012
Meckenheimer Allee 172
53115 Bonn
© Philipp Schultze
Curriculum Vitae
- Starting 2027: PhD Student, Computational Hydrology Lab, University of Calgary, Calgary, Canada
- Since 2024: Teaching R programming course for geographers
- Since 2023: Student Research Assistant, RG Hydrology, Department of Geography, University of Bonn
- 2023 – 2026: M.Sc. Geography,
Thesis: "Evaluating AI-Generated Conceptual Hydrological Model Setups"
- 2020 – 2023: B.Sc. Geography
Thesis: "Modellierung der Auswirkungen von Gewässernetzveränderungen auf den Beitrag von Zwischenabfluss in Einzugsgebieten: Ein R-basierter Ansatz"
- PROMOS Stipend for a 3-month research stay at the Computational Hydrology Lab under Prof. Martyn Clark, University of Calgary, Calgary, Canada
Publications and Conference Contributions
Assessing causal drivers of diurnal streamflow fluctuations using convergent cross mapping (2026)
Glaser, C., Schultze, P., Bogena, H., & Klaus, J.
Submitted to Hydrological Processes (Under Review)
Does AI Understand Hydrology? - Investigating AI-recommended conceptual hydrological model setups (2026)
Schultze, P., Eythorsson, D., Clark, M., & Klaus, J.
Abstract EGU26-8123. EGU General Assembly 2026, Vienna, Austria
Spatio-temporal variability of hydrological connectivity through interflow (2024)
Klaus, J., Schultze, P., & Jackson, R.
Abstract EGU24-4376. EGU General Assembly 2024, Vienna, Austria