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Charles University

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PhD in Hydrology and Machine Learning for Flood Predictability at Charles University in Prague Charles University in Czech Republic

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 30, 2026

Country flag

Country

Czech Republic

University

Charles University

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Keywords

Computer Science
Environmental Science
Geography
Hydrology
Earth Science
Cambio Climático
ML

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About this position

Charles University in Prague is offering a PhD research opportunity in hydrology and machine learning focused on the predictability of floods.

The project investigates how much hydrological information is needed to predict floods reliably. The PhD researcher will examine how hydrological information, flood-generating processes, and changing climatic and environmental conditions influence flood predictability.

A central aim is to determine whether relationships identified through the research can be generalized across different catchments, spatial scales, and environmental settings. The work therefore connects physical geography, geoecology, hydrological modelling, machine learning, flood prediction, and the transferability of model insights between environments.

The opportunity is associated with the Department of Physical Geography and Geoecology at the Faculty of Science, Charles University, in Prague. The research offers an interdisciplinary setting for studying flood processes and the limits of data-driven prediction across scales.

Funding details

Available

How to apply

Review the opportunity details at the provided link and submit your PhD application by 30 November 2026.

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