Doctoral student impacts of climate and hydrological extremes water quality
Listed on 2026-09-20
-
Research/Development
Research Scientist, Data Scientist, Biology -
Science
Environmental Science, Research Scientist, Data Scientist, Biology
Position
Doctoral student on the impacts of climate and hydrological extremes on water quality
EmployerETH Zurich
Homepage(Use the "Apply for this Job" box below)..html
LocationZürich/Davos, Switzerland
SectorAcademic
Relevant divisionsClimate:
Past, Present & Future (CL)
Hydrological Sciences (HS)
Natural Hazards (NH)
Full time
LevelEntry level
Salarymin. 53500 € / Year
Required educationMaster
Final date to receive applications9 October 2026
Posted9 September 2026
Job DescriptionWe invite applications for a Doctoral Student on impacts of climate and hydrological extremes on water quality. The position will be hosted at the Institute for Atmospheric and Climate Science at ETH Zurich and the WSL-Institute for Snow and Avalanche Research SLF and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science Foundation (SNSF).
Projectbackground
The NCCR CLIM+ supports Switzerland in the transformation towards a climate-resilient society. Together with stakeholders, the interdisciplinary NCCR CLIM+ research community tackles unexplored solution spaces to the climate crisis and develops a blueprint for actionable climate research worldwide. NCCR CLIM+ broadly communicates and shares knowledge, and trains a new generation of experts with the necessary domain and transdisciplinary knowledge.
Responsibilities- Study the effect of climate and hydrological extremes (e.g. heatwaves, droughts, and floods) on water quality (e.g. nutrients, oxygen)
- Use these process-related insights to develop data-driven models to predict water quality under climate change
- Publish your results in scientific journals and present them at national and international conferences
- A MSc degree in hydrology, climate sciences, environmental sciences, or a closely related field
- Strong hydrological process knowledge
- Experience in statistical and/or data-driven modeling
- Strong programming skills (ideally in Python and/or R)
- Experience in working with large datasets, ideally hydrological, meteorological or climate observations/simulations.
- Very good oral and written communication skills in English
- Command of one of the national languages is an asset
- Motivation to work in an interdisciplinary and international working environment and a collaborative mindset
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