Postdoc in Hydrological Extremes for Resilient Water Systems

European Geosciences Union; København; Sur place; DKK 420 000 - 540 000; Plein temps

Résumé du poste

DTU Sustain – Department of Environmental and Resource Engineering, Water Systems (WS) Section, invites applications for a Postdoc position focusing on hydrological extremes across scales, hazards and impacts to support climate-resilient water and infrastructure systems.

The role involves developing risk-based design methods, applying extreme value analysis and non-stationary statistics, and collaborating with Danish and international partners in a dynamic research environment.

Qualifications

• PhD required in civil/environmental engineering, hydrology/earth sciences, data science/applied statistics or similar.
• Experience with extreme value statistics and machine learning for spatial and temporal variability is advantageous.
• Willingness to collaborate with national and international partners and stakeholders.

Responsabilités

• Strengthen the department’s capabilities in hydrological extremes and data science across scales, hazards and impact categories.
• Develop and harmonise methods for extreme value analysis and regionalisation, accounting for non-stationarity.
• Engage with industry and government stakeholders to ensure relevance of outcomes.
• Access and curate open data sets and publish standardized data on hydrological extremes with collaborators.
• Publish in high-impact journals; present at conferences and support PhD students and postdocs.
• Assist with teaching materials and supervision of student projects (<20%).

Connaissances

Hydrological extremes

Data science

Machine learning

Python scripting

Non-stationarity

Collaboration

Formation

PhD in civil/environmental engineering or related

Outils

INLA-SPDE

Graph neural networks

Description du poste

DTU Sustain – Department of Environmental and Resource Engineering, Water Systems (WS) Section, invites applications for a Postdoc position focusing on hydrological extremes across scales, hazards and impacts to support climate-resilient water and infrastructure systems.

The role involves developing risk-based design methods, applying extreme value analysis and non-stationary statistics, and collaborating with Danish and international partners in a dynamic research environment.