Postdoc Position in Hydrology

Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.

The Department of System Analysis, Integrated Assessment and Modelling (Siam) is offering a

Postdoc position in hydrology - machine learning modelling

**It is** a full-time 3-year position focused on "hybrid models" that combine process-based (PB) and machine-learning (ML) models in hydrology.

**This project aims** to combine the recent advances of conceptual models, particularly the evolution from fixed model structures into flexible frameworks, with the elements that have contributed to the success of ML models in streamflow prediction.

The project is based at Eawag (Dübendorf). The supervising team includes Fabrizio Fenicia (Eawag), Dmitri Kavetski (University of Adelaide), and Grey Nearing (Google Research).

For further information about the position, please contact Dr. Fabrizio Fenicia

**Eawag is** a modern employer and offers an excellent working environment where staff can contribute their strengths, experience and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us. Siam provides a friendly and stimulating research environment with the potential for interaction with researchers in statistical inference, computation and mathematical modelling.