Wageningen University & Research
10 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
PhD in Hydrology and Environmental Hydraulics: Flood Prediction Modelling at Wageningen University Wageningen University & Research in Netherlands
Degree Level
PhD
Field of study
Machine Learning
Funding
The position is fully funded for up to four years, with a gross salary starting at €3,059 per month in the first year and rising to €3,881 in the fourth year (full-time, 38 hours/week), according to the Dutch universities' collective labour agreement. Additional benefits include a year-end bonus of 8.3%, excellent pension scheme, partially paid parental leave, and access to sports facilities. Visa and relocation support are available for international candidates. Tax exemption may apply for cert
Deadline
Expired
Country
Netherlands
University
Wageningen University & Research
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About this position
Wageningen University & Research is seeking a highly motivated PhD candidate to join the Hydrology and Environmental Hydraulics Group for the NWO-funded VIDI project “FutureFlood - Future-proof flood prediction.” This fully funded, four-year position focuses on developing and comparing tailored rainfall-runoff models that incorporate different flood types and their generating processes. The research will involve analysing and adapting hydrological models such as HBV, WALRUS, and LISFLOOD for global case studies, with a strong emphasis on model parametrisation, robustness, and sensitivity under various climate change scenarios.
The successful candidate will develop a flood classification framework, compare machine learning algorithms, and create open-source program code, preferably as a software package. The project includes regular collaboration with the VIDI project team and communication with stakeholders in case study regions to ensure the practical applicability of the developed models. The research aims to advance the prediction and modelling of extreme flood events by integrating deterministic modelling and stochastic classification, ultimately contributing to improved flood risk management.
Applicants should hold a completed MSc degree in hydrology, earth systems, water management, or a related field, with advanced programming skills (preferably in R or Python) and experience in hydrological modelling. Knowledge of extreme value statistics and proficiency in English at C1 level are required. The position offers a competitive salary (€3,059–€3,881/month), excellent benefits, and support for international candidates, including visa and relocation assistance. The application deadline is 15 January 2026. For more information, contact Assistant Professor Svenja Fischer ([email protected]).
To apply, submit a CV and motivation letter (max. 3 pages total) via the Wageningen University vacancy page. No additional documents are required at this stage. Wageningen University & Research is committed to diversity and inclusion, providing a welcoming and innovative environment for all staff and students.
Funding details
The position is fully funded for up to four years, with a gross salary starting at €3,059 per month in the first year and rising to €3,881 in the fourth year (full-time, 38 hours/week), according to the Dutch universities' collective labour agreement. Additional benefits include a year-end bonus of 8.3%, excellent pension scheme, partially paid parental leave, and access to sports facilities. Visa and relocation support are available for international candidates. Tax exemption may apply for cert
What's required
Applicants must have a completed MSc degree in hydrology, earth systems, water management, or a similar research area. Advanced programming skills (preferably in R or Python) and experience with hydrological modelling are required. Knowledge of basic extreme value statistics is expected. Candidates should have a collaborative, curious, and creative mindset, be able to work in a team, and communicate with various partners. Proficiency in English at C1 level is required, and sometimes an internationally recognised Certificate of Proficiency in English may be necessary.
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Professors
Assistant professor for Stochastic Hydrology
Netherlands
Research Interests
Hydrology
Statistics
Flood Risk
Geostatistic
Machine Learning
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.