PhD Fellow: Digital Twins for Flood-Resilient Infrastructure

Delft University of Technology (TU Delft); Delft; Presencial; EUR 36 000 - 45 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Relocation assistance

Resumo da oferta

DT for flood-resilient infrastructure management is at the core of this TU Delft PhD project. You will develop Digital Twins integrating multiple models and data sources to improve predictive flood risk for critical infrastructure, collaborating with international partners and stakeholders.

The role offers a structured 4-year appointment with formal governance, mentoring, and opportunities for international collaboration, focusing on both academic research and practical end-user deployment in

Qualificações

• 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 programming skills (e.g. in Python, SQL, Java, PyTorch, etc.).
• A critical, creative and pro-active approach to research, with distinctive problem-solving skills.
• Proven experience with writing scientific reports/publications.
• Confidence/willingness in engaging with partners and stakeholders.
• Excellent command of English (oral and written).
• Previous internship experience with non-academic institutions is desiderable.

Responsabilidades

• 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 (first) and real case studies (second).
• Implement the developed functionalities into end users' platforms.
• Co-organise workshops and co-coordinate stakeholder engagement (e.g. regular meetings, presentations, visits).

Conhecimentos

Numerical modelling

Hydrodynamic simulation

Data management

Machine learning

Programming languages

Formação académica

MSc degree in Civil Engineering, Computer Science or Hydro-informatics

Ferramentas

Python

SQL

Java

PyTorch

Descrição da oferta de emprego

DT for flood-resilient infrastructure management is at the core of this TU Delft PhD project. You will develop Digital Twins integrating multiple models and data sources to improve predictive flood risk for critical infrastructure, collaborating with international partners and stakeholders.

The role offers a structured 4-year appointment with formal governance, mentoring, and opportunities for international collaboration, focusing on both academic research and practical end-user deployment in