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PhD Position in Smart Sensing and Monitoring of Railway Embankment
Contribute to the revolution of railway embankment monitoring.
Job description
Railway embankments form the foundation of the railway system and play a critical role in ensuring the safety, reliability, and resilience of rail transport. As these assets age and are exposed to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies, enabling more frequent, scalable, and data-driven asset management.
The project will investigate the integration of Axle Box Acceleration (ABA), Laser Doppler Vibrometry (LDV), and Track Geometry (TG) data to enable indirect and frequent assessments of railway embankment conditions. Using measurement data collected by the CTO monitoring train in the Netherlands, the research will examine the relationships between LDV measurements and existing indicators of track quality derived from ABA and TG data, aiming to establish robust indicators of embankment condition.
To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms governing vibration responses measured by LDV and to improve the understanding of how embankment condition influences train-induced dynamic behaviour.
Transfer functions linking LDV, ABA, TG, and wayside sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a framework for translating routinely collected monitoring data into actionable information about embankment health and performance.
As part of the project, you will collaborate closely with railway industry partners, participate in discussions, and receive feedback on the development and implementation of your research. Limited teaching responsibilities are also included in the position.
As a PhD candidate, you will join the Railway Engineering Section within the Department of Engineering Structures at the Faculty of Civil Engineering and Geosciences of TU Delft. You will work closely with ProRail, the Dutch railway infrastructure manager, supporting the testing, validation, and practical implementation of your research outcomes. The supervisory team consists of Prof. Zili Li and Prof. Rolf Dollevoet.
The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal demands in transportation, the energy transition and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and maintenance techniques. Our unique Macro Mechanics Laboratory facilities support full-scale testing, monitoring and modelling of structures to facilitate implementation of innovations. The department delivers both groundbreaking research and world-class education for undergraduate and graduate students. As a team, we represent different backgrounds, skills and views. We foster an inclusive culture, as our combined identities, attitudes and ambitions widen our perspective and make up our strengths.
Job requirements
We are looking for an excellent candidate with the following qualifications, knowledge and skills:
A master's degree in Civil, Geotechnical, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science or related areas.
Demonstrated competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields.
Programming skills in one or more scientific computing environments, such as Python, MATLAB, or similar.
Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches.
Ability to collaborate effectively with academic researchers and industry partners.
Excellent command of English, both verbal and in writing.
If your native language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit proof of English proficiency from either TOEFL (minimum total score of 100) or IELTS (minimum total score of 7.0).
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.
& Geosciences.
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 €3059 - €3881 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
For more information about this vacancy, please contact Prof. Zili Li, email:
[email protected]
#EUfunded This is an EU funded project, named Europe’s Rail Flagship Project 3 - Holistic and Integrated Asset Management for Europe’s RAIL System (Phase 2), with project number 101324772, within program HORIZON-JU-ER.
Application procedure
Are you interested in this vacancy? Please apply no later than 1 September 2026 upload the following documents:
A detailed Curriculum Vitae.
One-page motivation letter.
One-page abstract of your MSc thesis written in English.
Copies of BSc and MSc degrees and transcripts, and/or publications.
Proof of English language level.
If your MSc diploma and transcript are not in Dutch, English, French or German and you will be the selected candidate, the TU Delft will ask you to deliver a certified translation.
For information about the application procedure, please contact Ms. Jacqueline Barnhoorn, email:
[email protected], or Ms. Claudia Baltussen, email:
[email protected].
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
Please note:
You can apply online. We will not process applications sent by email and/or post.
As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
Please do not contact us for unsolicited services.
Faculty/Department: Faculty of Civil Engineering and Geosciences
Salary range: €3059 - €3881
Submission is possible until: 1 Sep 2026
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