PhD Position in Digital Twins for Flood-Resilient Infrastructure

Delft University of Technology; Delft; Presencial; EUR 36.000 - 45.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

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 and real case studies.
• Implement the developed functionalities into end users' platforms.
• Co‑organise workshops and co‑coordinate stakeholder engagement.

Conocimientos

Numerical modelling

Hydrodynamic simulation

Data management

Excellent English

Educación

MSc in Civil Engineering / Computer Science / Hydroinformatics

Herramientas

Python

SQL

Java

PyTorch

Descripción del empleo

Develop and implement a Digital Twin that strengthens our ability to protect critical infrastructure against flooding.

Job Description

Current and future impact of flooding to critical infrastructure (e.g. dikes, bridges) is a major concern worldwide. Unfortunately, the management of flood-prone structures is extremely challenging because underlying processes are complex and uncertain. If our capacity to anticipate flood‑induced impacts on infrastructure does not improve, societal and economic consequences are likely to be unsustainable.

Digital Twins (DTs) offer a promising opportunity to combine recent advances in modelling, data assimilation and machine learning. However, for DTs to support the management of flood‑prone infrastructure, they must be effectively integrated with flood‑risk modelling. The scientific challenge is to develop methods that enable Digital Twins to leverage multiple models, datasets and computational techniques to improve predictive capacity in real flood‑risk contexts.

FlooDT (Digital Twin for flood‑resilient infrastructure management) is a prestigious and ambitious project funded by NWO. It aims to develop a new methodological framework to exploit the capability of DTs for managing flood risk “from climate prediction to structure protection”. TU Delft is leading the project and a consortium that involves multiple universities (e.g. ETH Zurich, Univ. Polytechnica of Catalunya) and stakeholders (e.g. Deltares, Rijkswaterstaat). The project has also the support of the TU Delft Digital Competence Centre (DCC).

• 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).

You will join the FlooDT team and the Flood Risk and Hydraulic Structures section, a collaborative and international team where curiosity, interdisciplinary research and scientific excellence are valued. Our section closely collaborates with the other sections within the Department of Hydraulic Engineering, other departments within our Faculty of Civil Engineering and Geoscience and many research groups around the world. We offer strong support for your professional growth, including mentoring, training, and ample opportunities for international collaboration and networking.

This position will open doors to exciting career opportunities in both academia and the future‑facing companies that are shaping the next generation of digital technologies.

Job Requirements

• A MSc degree in Civil Engineering, Computer Science or Hydro‑informatics (or in a related discipline).
• Demostrated 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.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high‑quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Civil Engineering and Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Conditions of employment

Doctoral candidates will be offered a 4‑year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3204 - €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end‑of‑year bonus of 8.3%.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline‑related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

Additional Information

All information are cointained here and general questions will not be answered. For specific requests, please contact Maria Pregnolato ([e-mail]).

After the first selection, online interviews will be held in December.

The candidate is expected to start in March/April 2027.