
PhD Candidate in AI-Enhanced Flood Risk Modelling
Universiteit van Amsterdam
Amsterdam, North Holland, Netherlands
3.204 – 4.051 / month
Hybrid
Entry
posted 2 days ago
Vacancy Summary
Join our research team at the University of Amsterdam to develop AI methods for flood risk modelling and insurability analysis. This PhD position focuses on generating extreme flood scenarios and assessing climate change impacts on the financial sector.
Are you passionate about applying AI in flood risk modelling to tackle questions beyond existing datasets? We are seeking a PhD candidate to create credible extreme flood scenarios that exceed historical observations, aiding in understanding climate change effects on the financial sector.
The Flood Insurance and Risk Management (FIRM) program is a five-year initiative (2026–2030), funded by TKI Deltatechnologie and Nationale-Nederlanden, along with contributions from over 10 partners across academia, finance, engineering, and government. FIRM aims to provide realistic flood risk information for the financial sector.
As a PhD candidate, you will develop AI methods to enhance existing flood scenarios derived from physical models, incorporate climate change effects, and assess future insurability of flood risks. You will also create AI methods for rapid damage estimates for financial institutions during floods.
Interested candidates should apply via the UvA vacancy portal, including a motivation letter, CV, transcripts, and contact details for two academic referees. The application deadline is 17 September 2026. Interviews will commence the week of 5 October 2026. Internal candidates will be prioritized in case of equal suitability.
The UvA is committed to diversity and inclusion, encouraging applications from all qualified individuals, regardless of background.
Required skills
PYTHON
Pytorch
Insurance
Initiative
Financial Institutions
Linear
Teaching
Interviews
Artificial Intelligence (AI)
Computer Science
Data Analysis
Motivation
Deep Learning
Dutch
Climate Change
English
Finance
Machine Learning
Applied Mathematics
Programming
Tensorflow
Research
Contact
Water Systems
Access
Professional Development
Case Studies
Training
Management
Curiosity
CV
Diversity
Attention
Modelling
English level
Fluent
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