PhD in Digital Twins for Flood-Resilient Infrastructure

Delft; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

TU Delft in Delft invites a motivated PhD candidate to develop a Digital Twin for flood-resilient infrastructure. You will work on risk analysis, scenario modelling and data processing in an international, interdisciplinary team, pushing hybrid modelling and real-case validation.

The project emphasizes end-to-end implementation and stakeholder engagement, starting March/April 2027. Excellent publication record and English fluency are preferred.

Qualifications

• MSc degree in Civil Engineering, Computer Science or Hydro-informatics or related field.
• Experience in numerical modelling, hydrodynamic simulation and data management.
• Knowledge of machine learning and programming in Python/SQL/Java/PyTorch.
• Strong report-writing and publication experience, good English.

Responsibilities

• Develop functional modules for Digital Twins (risk analysis, scenario modelling, data processing).
• Create hybrid physics-based and machine-learning flood risk models.
• Validate DT functionalities against simplified representations and real cases.
• Implement features into end-user platforms and tools.
• Co-organise workshops and coordinate stakeholder engagement.

Skills

Numerical modelling

Hydrodynamic simulation

Data management

Machine learning

Programming: Python

Programming: SQL

Programming: Java

Programming: PyTorch

English proficiency

Education

MSc in Civil Engineering, Computer Science or Hydro-informatics

Job description

TU Delft in Delft invites a motivated PhD candidate to develop a Digital Twin for flood-resilient infrastructure. You will work on risk analysis, scenario modelling and data processing in an international, interdisciplinary team, pushing hybrid modelling and real-case validation.

The project emphasizes end-to-end implementation and stakeholder engagement, starting March/April 2027. Excellent publication record and English fluency are preferred.