PhD: Digital Twin for Flood-Resilient Infrastructure

Delft University of Technology; Delft; Sur place; EUR 36 000 - 45 000; Plein temps

Résumé du poste

TU Delft is leading the FlooDT project to develop Digital Twins for flood-resilient infrastructure management. You will work within the Flood Risk and Hydraulic Structures section on combining modelling, data assimilation and ML to improve predictive capacity in real flood-risk contexts.

The role offers a 4-year doctoral position with an initial 1.5-year contract and potential for extension, including mentoring, international collaboration and a strong support network at TU Delft.

Qualifications

• MSc degree in Civil Engineering, Computer Science or Hydro‑informatics (or in a related discipline).
• Demonstrated experience in numerical modelling, hydrodynamic simulation and data management.
• Scientific and/or practical knowledge of machine learning.
• Excellent command of English (oral and written).
• Proven experience with writing scientific reports/publications.

Responsabilités

• Develop functional modules for Digital Twins, such as risk analysis, scenario modelling and processing of monitoring data.
• Develop hybrid (physics based/machine learning) modelling for flood risk.
• Apply and validate the Digital Twin functionalities for simplified representation of infrastructure and real case studies.
• Implement the developed functionalities into end users' platforms.
• Co‑organise workshops and co‑coordinate stakeholder engagement.

Connaissances

Numerical modelling

Hydrodynamic simulation

Data management

Excellent English

Formation

MSc in Civil Engineering / Computer Science / Hydroinformatics

Outils

Python

SQL

Java

PyTorch

Description du poste

TU Delft is leading the FlooDT project to develop Digital Twins for flood-resilient infrastructure management. You will work within the Flood Risk and Hydraulic Structures section on combining modelling, data assimilation and ML to improve predictive capacity in real flood-risk contexts.

The role offers a 4-year doctoral position with an initial 1.5-year contract and potential for extension, including mentoring, international collaboration and a strong support network at TU Delft.