PhD Position Decarbonization Dynamics of SME in the Netherlands

Job description
From the pharmaceutical company, the logistics entrepreneur to the milk powder producer, small and medium-sized enterprises (SME) play an important role in the economy – and for the climate. SME represent the backbone of the Dutch economy. With a contribution of 63% greenhouse gas (GHG) emissions (measured at the EU level), SME also play a major role in the transition to reach net-zero. The data and information on SME carbon emissions, decision processes, and long-term dynamics are, however, weak in the absence of corporate social responsibility disclosure standards for SME and the high heterogeneity of SME. This research project seeks to gain an in-depth understanding of the decision context for SME in the Netherlands to decarbonize and the long-term decarbonization dynamics within the wider transition towards net-zero. As such, the project pursues the leading question: What shapes the decarbonization dynamics of SME in the Netherlands at the company and system level?

The project pursues a research line that progresses from characterising the heterogeneity of SME and decarbonization measures, to the decision-making processes within SME, to modelling the long-term decarbonization dynamics of SME in the Netherlands. Along these lines, the project is structured in three main contributions and one complementary outreach format. As the selected PhD candidate, you will:

• conduct data analysis for an emission-weighted segmentation of SME and their decarbonization levers.
• investigate what determines SME executives’ decarbonization decisions.
• develop a System Dynamics model to simulate the long-term decarbonization dynamics of SME in the Netherlands.

As such, the project is highly interdisciplinary, connecting the fields of sustainability accounting, organizational behaviour and socio-technical transition dynamics. The methods used in this PhD project are data analysis, literature review, in-person interviews, and System Dynamics modelling. The PhD research should result in a set of policy recommendations for SME to decarbonize their businesses, and for finance institutions and governance on how to support SME’s transition to net-zero.

The supervisory team for the PhD project consists of Dr. Merla Kubli, https://www.tudelft.nl/en/staff/m.d.kubli/ (daily supervisor), and Prof. Dr. Laurens de Vries, https://www.tudelft.nl/staff/l.j.devries/ (promotor). As a PhD candidate, you will be enrolled in the TU Delft Graduate School. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills, providing a platform for experience exchanges with other PhD candidates.

You will be part of the Policy Analysis section of the Department Multi-Actor Systems, https://www.tudelft.nl/en/tpm/our-faculty/departments/multi-actor-systems (MAS) and maintain close connections to the Energy & Industry section of the Department Engineering Systems and Services (https://www.tudelft.nl/en/tpm/our-faculty/departments/engineering-systems-and-services) within TU Delft's Faculty of Technology, Policy and Management. The MAS department’s diverse team of approximately 120 researchers, including PhD candidates and postdocs, brings together expertise from policy analysis, systems engineering & simulation and organisation & governance. This interdisciplinary approach is essential as we tackle complex socio-technical challenges such as climate change, cybersecurity, and the energy transition.

As the successful candidate, you will contribute to the stimulating intellectual environment at the Faculty of Technology, Policy, and Management at TU Delft and to support its portfolio of teaching and knowledge transfer activities. You will have access to state-of-the-art facilities, labs and equipment to help develop your research. The working environment is open and collaborative, promoting daily interaction and knowledge exchange. With minimal hierarchical barriers, you’ll benefit from strong mentorship and tailored training. Professional growth is a priority, ensuring your success in academia.

Job requirements
The candidate…

• holds a Master’s degree on energy transition, sustainability, management or System Dynamics, or related fields (e.g. Engineering and Policy Analysis, Complex System Engineering, Sustainable Energy Technologies, System Dynamics, Industrial Ecology or a similar degree) or completes such a degree before September 1st.
• is passionate about decarbonization, has a strong interest in climate and decentral energy solutions and their socio-technical dynamics in the context of the Netherlands.

Furthermore, we are looking for a combination of some or all of the following qualities, where a candidate…

• is knowledgeable of the Dutch economy and business sector, especially regarding small- and medium-sized enterprises, or is willing to develop this knowledge in the early phase of the PhD.
• has experience with System Dynamics simulation modelling skills (e.g. with Vensim or Stella). If not already proficient, the candidate should demonstrate a strong interest in acquiring this skill in the early phase of the PhD and ideally have prior experience with systems thinking approaches and/or simulation models.
• has a solid basis in data analysis and interviewing skills.
• is able to work independently, engages with executives from SME and the banking sector, in professional manner, and contributes to a collaborative academic environment.
• is fluent in English and has strong writing skills. Given that the PhD candidate will work on topics strongly related to the Dutch economy, interact with Dutch SME executives, and a Dutch project financer, proficiency in Dutch is a strong plus for this position.

This PhD project is grounded in company- and system-level analysis with an explicit focus on socio-technical systems thinking. It is not focused on electrical engineering or technical optimization. Candidates with an engineering background are welcome to apply if they are motivated to engage with behavioral, business, and innovation perspectives on decarbonization dynamics and can demonstrate an affinity for these perspectives.

Doing a PhD at TU Delft requires English proficiency to ensure that the candidate can 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.

The PhD project is foreseen to begin on September 1st, 2026.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact

Faculty Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.

PhD Position Decarbonization Dynamics of SME in the Netherlands

Job description
From the pharmaceutical company, the logistics entrepreneur to the milk powder producer, small and medium-sized enterprises (SME) play an important role in the economy – and for the climate. SME represent the backbone of the Dutch economy. With a contribution of 63% greenhouse gas (GHG) emissions (measured at the EU level), SME also play a major role in the transition to reach net-zero. The data and information on SME carbon emissions, decision processes, and long-term dynamics are, however, weak in the absence of corporate social responsibility disclosure standards for SME and the high heterogeneity of SME. This research project seeks to gain an in-depth understanding of the decision context for SME in the Netherlands to decarbonize and the long-term decarbonization dynamics within the wider transition towards net-zero. As such, the project pursues the leading question: What shapes the decarbonization dynamics of SME in the Netherlands at the company and system level?

The project pursues a research line that progresses from characterising the heterogeneity of SME and decarbonization measures, to the decision-making processes within SME, to modelling the long-term decarbonization dynamics of SME in the Netherlands. Along these lines, the project is structured in three main contributions and one complementary outreach format. As the selected PhD candidate, you will:

• conduct data analysis for an emission-weighted segmentation of SME and their decarbonization levers.
• investigate what determines SME executives’ decarbonization decisions.
• develop a System Dynamics model to simulate the long-term decarbonization dynamics of SME in the Netherlands.

As such, the project is highly interdisciplinary, connecting the fields of sustainability accounting, organizational behaviour and socio-technical transition dynamics. The methods used in this PhD project are data analysis, literature review, in-person interviews, and System Dynamics modelling. The PhD research should result in a set of policy recommendations for SME to decarbonize their businesses, and for finance institutions and governance on how to support SME’s transition to net-zero.

The supervisory team for the PhD project consists of Dr. Merla Kubli, https://www.tudelft.nl/en/staff/m.d.kubli/ (daily supervisor), and Prof. Dr. Laurens de Vries, https://www.tudelft.nl/staff/l.j.devries/ (promotor). As a PhD candidate, you will be enrolled in the TU Delft Graduate School. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills, providing a platform for experience exchanges with other PhD candidates.

You will be part of the Policy Analysis section of the Department Multi-Actor Systems, https://www.tudelft.nl/en/tpm/our-faculty/departments/multi-actor-systems (MAS) and maintain close connections to the Energy & Industry section of the Department Engineering Systems and Services (https://www.tudelft.nl/en/tpm/our-faculty/departments/engineering-systems-and-services) within TU Delft's Faculty of Technology, Policy and Management. The MAS department’s diverse team of approximately 120 researchers, including PhD candidates and postdocs, brings together expertise from policy analysis, systems engineering & simulation and organisation & governance. This interdisciplinary approach is essential as we tackle complex socio-technical challenges such as climate change, cybersecurity, and the energy transition.

As the successful candidate, you will contribute to the stimulating intellectual environment at the Faculty of Technology, Policy, and Management at TU Delft and to support its portfolio of teaching and knowledge transfer activities. You will have access to state-of-the-art facilities, labs and equipment to help develop your research. The working environment is open and collaborative, promoting daily interaction and knowledge exchange. With minimal hierarchical barriers, you’ll benefit from strong mentorship and tailored training. Professional growth is a priority, ensuring your success in academia.

Job requirements
The candidate…

• holds a Master’s degree on energy transition, sustainability, management or System Dynamics, or related fields (e.g. Engineering and Policy Analysis, Complex System Engineering, Sustainable Energy Technologies, System Dynamics, Industrial Ecology or a similar degree) or completes such a degree before September 1st.
• is passionate about decarbonization, has a strong interest in climate and decentral energy solutions and their socio-technical dynamics in the context of the Netherlands.

Furthermore, we are looking for a combination of some or all of the following qualities, where a candidate…

• is knowledgeable of the Dutch economy and business sector, especially regarding small- and medium-sized enterprises, or is willing to develop this knowledge in the early phase of the PhD.
• has experience with System Dynamics simulation modelling skills (e.g. with Vensim or Stella). If not already proficient, the candidate should demonstrate a strong interest in acquiring this skill in the early phase of the PhD and ideally have prior experience with systems thinking approaches and/or simulation models.
• has a solid basis in data analysis and interviewing skills.
• is able to work independently, engages with executives from SME and the banking sector, in professional manner, and contributes to a collaborative academic environment.
• is fluent in English and has strong writing skills. Given that the PhD candidate will work on topics strongly related to the Dutch economy, interact with Dutch SME executives, and a Dutch project financer, proficiency in Dutch is a strong plus for this position.

This PhD project is grounded in company- and system-level analysis with an explicit focus on socio-technical systems thinking. It is not focused on electrical engineering or technical optimization. Candidates with an engineering background are welcome to apply if they are motivated to engage with behavioral, business, and innovation perspectives on decarbonization dynamics and can demonstrate an affinity for these perspectives.

Doing a PhD at TU Delft requires English proficiency to ensure that the candidate can 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.

The PhD project is foreseen to begin on September 1st, 2026.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact

Faculty Technology, Policy & Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.

Doctoral Candidate (PhD) Position in Quantum Networks

Job description
QuTech, the research center of Delft University of Technology (TU Delft) is hiring for a Doctoral Candidate (PhD) position in partnership with the Questing Doctoral Network.

The QUESTING Doctoral Network is a European doctoral training initiative funded by the Horizon Europe Marie Skłodowska-Curie Actions (MSCA). The Doctoral Network’s aim is to address the major skills shortage in quantum technology by training researchers who will help build the future of secure and efficient communication networks: the Quantum Internet.

PhD project

PhD Position Topic: Enhancing Entanglement Quality in Quantum Networks

We welcome applications for this Doctoral position whose goal is to expand, improve and evaluate our existing set of tools for improving the quality of entanglement between network nodes. Potential directions are improving techniques for entanglement distillation, potentially through a connection with error correction, and the use of discarding low-quality entanglement (cut-off time). We will use simulation and analytical calculation for doing so.

As part of the Doctoral Network collaboration his position includes research stays of few months at:

• University of Naples Federico II (UNINA), Italy.
• EURECOM, France.

In addition to these secondments, the position offers interdisciplinary training within the Doctoral Network.

Research groups
This project will be conducted within Tim Coopmans’ research group at QuTech, the quantum research institute of Delft University of Technology. The group focuses on the design of quantum networks and quantum circuits using techniques from (formal) computer science.

You will work closely with this growing team, where most members, including the first PhD candidates who joined in September last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics.

Here at QuTech, we are committed to fostering an inclusive and diverse research environment, and we strongly encourage applications from women and candidates from underrepresented groups, including but not limited to those from diverse cultural, socioeconomic, and educational backgrounds.

This commitment is reflected within the group as well: Tim Coopmans is a mentor in the WIQD mentorship programme (WIQD: "We In Quantum Development", formerly "Women In Quantum Development", https://www.wiqd.nl/).

Job requirements
We are looking for a motivated and creative researcher interested in working at the intersection of quantum technology, quantum information, and computer science. The role involves collaborating across disciplines, with opportunities to develop new skills, broaden your expertise, and engage with researchers from diverse backgrounds. Good communication skills and a willingness to learn are important for working effectively within and beyond the consortium.

Candidates should hold a Master’s degree in Computer Science, Physics, or a closely related field. Exposure to quantum computing or quantum information through coursework or equivalent experience is expected.

Please also note the ‘mobility rule’ below.

Funding requirements
This PhD position is funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network and is therefore subject to its mobility rule: applicants must not have resided or carried out their main activity (work or studies) in the Netherlands for more than 12 months in the 36 months prior to the recruitment date.

Also see the funding website: https://questing-project.eu/

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

QuTech
QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

Have a look at our video and get a glimpse of QuTech.

Doctoral Candidate (PhD) Position in Quantum Networks

Job description
QuTech, the research center of Delft University of Technology (TU Delft) is hiring for a Doctoral Candidate (PhD) position in partnership with the Questing Doctoral Network.

The QUESTING Doctoral Network is a European doctoral training initiative funded by the Horizon Europe Marie Skłodowska-Curie Actions (MSCA). The Doctoral Network’s aim is to address the major skills shortage in quantum technology by training researchers who will help build the future of secure and efficient communication networks: the Quantum Internet.

PhD project

PhD Position Topic: Enhancing Entanglement Quality in Quantum Networks

We welcome applications for this Doctoral position whose goal is to expand, improve and evaluate our existing set of tools for improving the quality of entanglement between network nodes. Potential directions are improving techniques for entanglement distillation, potentially through a connection with error correction, and the use of discarding low-quality entanglement (cut-off time). We will use simulation and analytical calculation for doing so.

As part of the Doctoral Network collaboration his position includes research stays of few months at:

• University of Naples Federico II (UNINA), Italy.
• EURECOM, France.

In addition to these secondments, the position offers interdisciplinary training within the Doctoral Network.

Research groups
This project will be conducted within Tim Coopmans’ research group at QuTech, the quantum research institute of Delft University of Technology. The group focuses on the design of quantum networks and quantum circuits using techniques from (formal) computer science.

You will work closely with this growing team, where most members, including the first PhD candidates who joined in September last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics.

Here at QuTech, we are committed to fostering an inclusive and diverse research environment, and we strongly encourage applications from women and candidates from underrepresented groups, including but not limited to those from diverse cultural, socioeconomic, and educational backgrounds.

This commitment is reflected within the group as well: Tim Coopmans is a mentor in the WIQD mentorship programme (WIQD: "We In Quantum Development", formerly "Women In Quantum Development", https://www.wiqd.nl/).

Job requirements
We are looking for a motivated and creative researcher interested in working at the intersection of quantum technology, quantum information, and computer science. The role involves collaborating across disciplines, with opportunities to develop new skills, broaden your expertise, and engage with researchers from diverse backgrounds. Good communication skills and a willingness to learn are important for working effectively within and beyond the consortium.

Candidates should hold a Master’s degree in Computer Science, Physics, or a closely related field. Exposure to quantum computing or quantum information through coursework or equivalent experience is expected.

Please also note the ‘mobility rule’ below.

Funding requirements
This PhD position is funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network and is therefore subject to its mobility rule: applicants must not have resided or carried out their main activity (work or studies) in the Netherlands for more than 12 months in the 36 months prior to the recruitment date.

Also see the funding website: https://questing-project.eu/

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

QuTech
QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

Have a look at our video and get a glimpse of QuTech.

PhD Position Long-Term Reasoning and Adaptive Learning for Human-Aware Robot Autonomy

Job description
Autonomous robots working in human-centered environments must do more than react to immediate sensor input. They need to reason over longer time horizons, adapt to changing tasks and environmental conditions, and update their behavior when new observations become available. In the EU-funded OPERA project, TU Delft contributes to General-Purpose AI for robotics by developing methods that combine fast System 1-style behavior with more deliberate System 2-style reasoning, adaptation, and decision-making.

In this PhD position, you will develop methods for long-term reasoning and adaptive robot behavior in human-centered environments. Your research will focus on how robots can use learned models, memory, semantic information, task structure, and uncertainty estimates to make robust decisions over extended time horizons. This directly connects to OPERA’s task on long-term reasoning in human-centered environments, which combines adaptive learning, hierarchical reinforcement learning, semantic maps, predictive control, and deliberative planning to support long-horizon mobile manipulation and human-centered autonomy.

This project will also address learning for adaptive and robust robot interaction. You will investigate how robots can adapt their behavior in response to human proximity, predicted intent, task context, environmental change, uncertainty, or model mismatch. This may involve reinforcement learning, imitation learning, adaptive control, model learning, state estimation, semantic reasoning, or self-supervised learning. The focus is on enabling robots to remain safe and effective when operating conditions change, rather than learning policies that only work in a fixed training distribution.

You will work in the Cognitive Robotics Department at TU Delft under the supervision of Prof. Robert Babuška and Dr. Laura Ferranti. You will be embedded in the Reliable Robot Control Lab and contribute to TU Delft’s OPERA work on reliable, adaptive, and trustworthy robot autonomy.

Job requirements
The ideal candidate for this PhD position has a strong technical background and is enthusiastic about contributing to safe, intelligent, and adaptive robot autonomy. We welcome applicants from all backgrounds who are motivated to work at the intersection of long term reasoning, learning, and human aware robotic behaviour.

You have:

• A MSc degree in Systems and Control, Computer Science, Applied Mathematics, Robotics, Mechanical Engineering, Artificial Intelligence, or a closely related field.
• A strong interest in working across multiple research domains, including task level reasoning, control, perception, and machine learning.
• Excellent programming skills, particularly in Python and/or C++, and experience with modern software development tools.
• A passion for ground breaking theoretical research combined with an eagerness to test ideas on real robotic systems.
• Strong analytical and mathematical abilities, enabling you to work confidently with algorithms, optimization, probability, or learning frameworks.
• Excellent communication skills and proficiency in English (written and verbal), as required for academic publication and international collaboration.

You are particularly encouraged to apply if you have experience in one or more of the following areas:

• Reinforcement learning, model-based RL, hierarchical RL, imitation learning.
• Adaptive control, learning-based control, nonlinear system identification, state estimation.
• Long-horizon planning, semantic reasoning, memory-based decision-making.
• Human-aware robot behaviour, multi-agent interaction, adaptive interaction strategies.
• Continual/self-supervised learning, uncertainty estimation, domain adaptation.
• Real robot deployment and ROS/ROS2 as a strong plus.

As part of OPERA, you will travel to meet and collaborate with the project’s European partners and attend regular consortium meetings.

We particularly encourage applications from women and other underrepresented groups, as we are committed to building a diverse and inclusive research environment.    

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.