PhD Position in Smart Sensing and Monitoring of Railway Embankment

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.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

PhD Position in Developing a Digital Health Passport for Railway Tracks on Bridges

Job description
Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies.

The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board measurement system (e.g., based on Axle Box Acceleration (ABA) or Laser Doppler Vibrometry (LDV)) will be designed and implemented to collect additional data for incorporation into the Health Passport.

Advanced data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be characterised through the analysis of vibration responses generated during train passages.

With every train passage, a comprehensive set of dynamic response data will be collected, creating a continuously evolving record of how the railway track–bridge system behaves over time. This living database will form the foundation of the Health Passport, enabling long-term condition monitoring, performance assessment, and early detection of potential deterioration.

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. Rolf Dollevoet (promotor) and Dr. Zhen Yang (co-promotor).
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, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science or related areas.
• Demonstrated competencies in one or more of these categories: railway/bridge engineering, structural dynamics, vibration analysis, structural health monitoring, data science or related fields.
• Programming skills in one or more scientific computing environments, such as Python, MATLAB, or similar.
• 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.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

PhD Position in Smart Sensing and Monitoring of Railway Embankment

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.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

PhD Position in Developing a Digital Health Passport for Railway Tracks on Bridges

Job description
Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies.

The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board measurement system (e.g., based on Axle Box Acceleration (ABA) or Laser Doppler Vibrometry (LDV)) will be designed and implemented to collect additional data for incorporation into the Health Passport.

Advanced data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be characterised through the analysis of vibration responses generated during train passages.

With every train passage, a comprehensive set of dynamic response data will be collected, creating a continuously evolving record of how the railway track–bridge system behaves over time. This living database will form the foundation of the Health Passport, enabling long-term condition monitoring, performance assessment, and early detection of potential deterioration.

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. Rolf Dollevoet (promotor) and Dr. Zhen Yang (co-promotor).
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, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science or related areas.
• Demonstrated competencies in one or more of these categories: railway/bridge engineering, structural dynamics, vibration analysis, structural health monitoring, data science or related fields.
• Programming skills in one or more scientific computing environments, such as Python, MATLAB, or similar.
• 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.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

Cleanroom Technician

Functieomschrijving

Als Technicus Kavli Nanolab speel je een belangrijke rol in het operationeel houden van een van de meest geavanceerde onderzoeksfaciliteiten van Nederland. Je werkt nauw samen met procesengineers en bent betrokken bij een breed scala aan technische werkzaamheden binnen en rondom de cleanroom.

Je werkzaamheden bestaan onder andere uit:

• Onderhoud, reparatie en installatie van complexe onderzoeksapparatuur.
• Uitvoeren van mechanische en elektrotechnische werkzaamheden aan cleanroomsystemen.
• Ondersteunen bij het plaatsen, aansluiten en in bedrijf stellen van nieuwe apparatuur.
• Beheren van technische voorraden en verbruiksmaterialen.
• Ondersteunen van veiligheids- en facilitair gerelateerde werkzaamheden binnen het laboratorium.
• Onderhoud aan ondersteunende installaties, zoals de demiwaterinstallatie.
• Beheer van de werkplaats en technische gereedschappen.
• Uitvoeren van technische werkzaamheden aan gebouwgebonden installaties, zoals pompsystemen.

Een belangrijk deel van je tijd werk je in de cleanroomomgeving. Daarnaast ondersteun je procesengineers bij technische procesactiviteiten, zoals het voorbereiden van opdampmaterialen en het periodiek conditioneren van processen.

Je werkt aan hoogwaardige onderzoeksapparatuur met een waarde van enkele tonnen tot meerdere miljoenen euro's. Reparatie- en onderhoudswerkzaamheden worden uitgevoerd in samenwerking met de andere technici en procesengineers binnen het team.

Functie-eisen
Wij zijn op zoek naar een enthousiaste en praktische technicus die graag werkt in een innovatieve onderzoeksomgeving.
Je beschikt over:

• MBO werk- en denkniveau.
• Een opleiding in de richting van werktuigbouwkunde, elektrotechniek, mechatronica, toegepaste natuurkunde of een vergelijkbare technische opleiding.
• Aantoonbare technische vaardigheden op mechanisch en/of elektrotechnisch gebied.

Daarnaast ben je:

• Een teamspeler die graag samenwerkt.
• Praktisch ingesteld en hands-on.
• Servicegericht en klantvriendelijk.
• Accuraat en kwaliteitsbewust.
• Communicatief vaardig in zowel Nederlands als Engels, mondeling en schriftelijk.
• Geïnteresseerd in onderzoek, innovatie en technologische ontwikkelingen.

Enkel kandidaten uit EU-landen of met een Nederlandse werkvergunning kunnen in aanmerking komen voor deze vacature (vanwege Nederlandse regelgeving).

TU Delft
Werken bij TU Delft betekent bijdragen aan oplossingen die er echt toe doen.

Al meer dan 180 jaar leiden we ingenieurs op die wereldwijd impact maken bij bedrijven, overheden of als ondernemer. Onze alumni zetten kennis om in concrete oplossingen voor de uitdagingen van vandaag en morgen. Die uitdagingen veranderen snel. Daarom werken we elke dag aan thema’s zoals energie, klimaat, digitalisering, AI en slimme mobiliteit. Ons onderwijs en onderzoek sluiten direct aan op wat de samenleving nodig heeft, nu en straks.

Bij TU Delft maken mensen het verschil. Met hun kennis en nieuwsgierigheid zorgen zij voor sterk onderwijs, vernieuwend onderzoek en innovaties die verder komen dan de campus. Je krijgt de ruimte om initiatief te nemen, samen te werken en jezelf te ontwikkelen. Wie bij TU Delft werkt, sluit zich aan bij een internationale community van professionals en studenten. Samen bouwen we aan kennis, innovatie en oplossingen die de wereld vooruithelpen.

Faculteit Technische Natuurwetenschappen
Met meer dan 1.100 medewerkers, waaronder 150 baanbrekende hoofdonderzoekers (principal investigators), en ongeveer 3.600 gepassioneerde studenten is de faculteit Technische Natuurwetenschappen een inspirerend wetenschappelijk ecosysteem. Onze faculteit richt zich op sleuteltechnologieën, zoals quantum- en nanotechnologie, fotonica, biotechnologie, synthetische biologie en materialen voor energieopslag en -conversie, en biedt oplossingen voor belangrijke problemen van de 21e eeuw. Daarvoor leiden we studenten op in brede bachelor- en specialistische masteropleidingen met een sterke onderzoekscomponent. Onze wetenschappers verrichten baanbrekend fundamenteel en toegepast onderzoek op het gebied van Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology en Engineering Physics. We leiden ook de volgende generatie middelbare school docenten op.

Klik hier om naar de website van faculteit Technische Natuurwetenschappen te gaan.