Doctoral Student on Climate and Hydrological Extremes and Water Quality
Investigate how climate and hydrological extremes impact water quality through data-driven modeling.
Best for:Best for environmental science or hydrology graduates with strong Python/R programming skills and experience in data-driven modeling.
Overview
ETH Zurich and the WSL-Institute for Snow and Avalanche Research SLF are inviting applications for a Doctoral Student position focusing on the impacts of climate and hydrological extremes on water quality. As part of the Swiss National Science Foundation-funded NCCR CLIM+ programme, the successful candidate will examine the effects of heatwaves, droughts, and floods on water parameters like nutrients and oxygen. The role involves developing data-driven predictive models, publishing findings in peer-reviewed scientific journals, and presenting at international conferences. Applicants are expected to work collaboratively within an interdisciplinary environment split between Zurich and Davos.
What you'll do
- Analyze the effects of climate and hydrological extremes such as heatwaves, droughts, and floods on water quality metrics like nutrients and oxygen levels.
- Build and refine data-driven models to forecast water quality changes under future climate scenarios using process-related insights.
- Draft scientific manuscripts and publish research results in leading peer-reviewed journals.
- Disseminate research findings by presenting at national and international academic conferences.
- Engage collaboratively in an interdisciplinary and international research team across ETH Zurich and SLF Davos.
Requirements
Degree required: MSc degree in hydrology, climate sciences, environmental sciences, or a closely related field
Degree offered: PhD
Language: English; very good oral and written communication skills
Instruction: English
- Strong foundational knowledge in hydrological processes
- Demonstrated experience in statistical and/or data-driven modeling
- Proficiency in programming languages, ideally Python and/or R
- Experience handling and analyzing large observational or simulation datasets in hydrology, meteorology, or climate science
Funding & terms
How to apply
Deadline: 2026-10-09
Candidates must submit their applications exclusively through the online application portal, including a cover letter, CV, academic transcripts, a link to the Master's thesis, and contact details for two professional references. Applications submitted via email or postal mail will not be reviewed.
- Cover letter
- CV
- Diploma certificates and transcripts
- Link to MSc thesis
- 2 reference contacts
Contact
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