PhD Candidate: AI-Driven Flood Scenarios & Insurability

Uva; Amsterdam; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

29 days' holiday

Pension accrual with ABP

Reimbursement of commuting expenses

Excellent work-from-home facilities

Open lectures worth up to 30 credits

Job summary

The University of Amsterdam invites applications for a PhD candidate to develop AI methods for flood risk assessment within the FIRM program. You will work under supervision at the Amsterdam School of Economics and collaborate with partners from academia, finance, and government.

The position spans four years, with a competitive monthly salary and fringe benefits. English fluency is essential; Dutch is an asset, and the PhD will contribute to multiple knowledge-transfer activities.

Qualifications

• Master's degree in a relevant field (see above) and strong programming skills.
• Experience with ML frameworks and AI methods.
• Interest in probabilistic risk modelling and water systems.

Responsibilities

• Develop hybrid AI methods to extend flood scenario sets.
• Translate scenario sets into future climate states and pathways.
• Build AI methods for rapid damage estimation and long-term insurability classification.
• Collaborate with the Amsterdam School of Economics and external partners.

Skills

Python programming

Machine learning

Probabilistic modelling

Spatial data analysis

Education

Master's degree in CS/AI/Applied Math/Hydrology/Civil Eng/Actuarial Science

Tools

PyTorch

TensorFlow

Job description

The University of Amsterdam invites applications for a PhD candidate to develop AI methods for flood risk assessment within the FIRM program. You will work under supervision at the Amsterdam School of Economics and collaborate with partners from academia, finance, and government.

The position spans four years, with a competitive monthly salary and fringe benefits. English fluency is essential; Dutch is an asset, and the PhD will contribute to multiple knowledge-transfer activities.