Coordinator Go Green Office / Project Lead Sustainable Labs

The Eindhoven University of Technology (TU/e) Green Office consists of thirteen motivated student assistants who actively contribute to making the university more sustainable while representing the student perspective. Since its establishment in 2015, the Green Office has grown into a mature and professional organization. In addition to initiating and delivering its own projects, the Green Office works closely with the Sustainability Office and the Sustainability Ambassador to support the university’s long term sustainability transition. Due to the internal promotion of the current coordinator, we are looking for a successor who can guide and strengthen the continued development of the Green Office.

At the same time, TU/e is working to improve the sustainability of its laboratory environment, which includes approximately 43,000 m² of laboratory space. This ranges from cleanrooms and advanced physics laboratories to dry labs and everything in between. Following a successful first year, the program is entering its next phase of development. We are therefore looking for a project lead who can further professionalize, coordinate and scale up the implementation of sustainability initiatives, ensuring they become embedded within the organization.

Job Description
You will join the Sustainability Office team. A central team with the mission to embed Sustainability structurally within all the university’s domains and beyond. The Sustainability Office acts as an advisory, coordinating, monitoring and enabling body for faculties, departments, and university leadership, providing expertise, tools, and guidance to support Sustainability-related initiatives.

Want to know more about the Go Green Office, Sustainability Office and Sustainability at TU/e:

• GO Green Office
• About the Sustainability Office
• Lab Sustainability Pilot
• TU/e Sustainability

Green Office Coordinator (12 hours per week) Green Office activities and projects are primarily initiated and carried out by students themselves. Students typically work for the Green Office for one to two years alongside their studies at TU/e.

As Coordinator, you provide continuity and are ultimately responsible for the overall direction and results of the Green Office:

• Coordination and connection: You are confident in making decisions and taking responsibility for the bigger picture, while giving students the freedom and ownership to shape a more sustainable TU/e. Your role is to share knowledge, provide guidance and create the conditions that allow students to take responsibility and grow.
• Strategic and content leadership: You play a key role in the long term development of the Green Office within TU/e. You contribute to its vision, strategy and policy, stimulate the execution of annual plans that align with the university’s sustainability agenda, and ensure effective knowledge transfer to new student assistants.
• HR responsibilities: You are responsible for HR related activities, including defining roles, coordinating recruitment and selection, supporting performance reviews, and coaching and developing Green Office team members.
• Financial management: You have overall responsibility for budgeting and financial monitoring. Within the annual planning cycle, you help set priorities for activities and projects and ensure that resources are aligned with these ambitions.

Sustainable Labs Project Lead (20-28 hours per week) As Sustainable Labs Project Lead, you are part of the team driving sustainability within education and research. Your focus is on the practical implementation of sustainability improvements in laboratories. Reporting to the Lead Operations within the Sustainability Office and working closely with the Lead Sustainable Research.

• Coordination and support of pilot projects: You take the lead in pilot projects. You are visible in the labs, maintain close contact with stakeholders and stay connected to day to day operations. You use these insights to accelerate implementation, improve project delivery and encourage knowledge sharing.
• Community building and scaling up: Your focus goes beyond individual projects and laboratories. You help build an active community where people collaborate, learn from one another, continuously improve and inspire others to take action. The lessons learned from pilot projects are translated into a framework that can be applied more broadly across the organization.
• Data collection and analysis: You understand that data drives improvement. You collect relevant information, analyze it carefully and translate findings into clear reports, visual insights and practical recommendations. Your curiosity helps uncover new opportunities and deeper understanding.
• Knowledge development and laboratory sustainability expertise: You actively build knowledge of existing methods and strategies for making laboratories more sustainable. You take a proactive approach to developing your expertise so that you can act as a knowledgeable sparring partner within the team.

Job Requirements

• A university level technical degree (MSc or equivalent), or comparable knowledge and experience gained through professional practice.
• 3 to 5 years of relevant work experience, including demonstrated experience in project and process management, leadership and coaching.
• Strong interpersonal skills, with the ability to build and maintain relationships and networks. You enjoy working with people and understand the different interests and perspectives involved.
• Excellent analytical skills and experience in data collection, data analysis and translating results into clear reports, recommendations and improvement actions.
• Knowledge of, or affinity with, laboratory sustainability within research or healthcare is an advantage.
• Excellent communication skills and fluent spoken and written English (minimum C1 level).

If you are concerned that you don’t meet all the requirements sufficiently, but the job does excite you, then be sure to respond, we would love to look at your profile.

Conditions of Employment
An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities.

We also offer you:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 9, ranging from €3.873,- to € 5.264,- gross base salary per month (full-time), depending on your knowledge and experience.
• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• A favorable arrangement for more holidays or a sabbatical.
• A selection model for additional fringe benefits.
• Working hours in consultation for an optimal work-life balance.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
• Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Information
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager: Sindy Harks, head Sustainability Office, s.c.harks@tue.nl or +31 40 247 5756.

Visit our website for more information about the application process. You can also contact Mai Lan Pham, Senior Recruiter, m.l.t.pham@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. Ensure that you submit all the requested application documents. We give priority to complete applications.

Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable.

We look forward to receiving your application!

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Important for non-EU applicants: Please be aware that for this position, specific residence permit requirements apply. If you are a non-EU national, you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team (staffimmigration@tue.nl) before applying to check your eligibility and to receive further guidance.
• Please do not contact us for unsolicited services.

Coordinator Go Green Office / Project Lead Sustainable Labs

You will join the Sustainability Office team. A central team with the mission to embed Sustainability structurally within all the university’s domains and beyond. The Sustainability Office acts as an advisory, coordinating, monitoring and enabling body for faculties, departments, and university leadership, providing expertise, tools, and guidance to support Sustainability-related initiatives.

Want to know more about the Go Green Office, Sustainability Office and Sustainability at TU/e:

• GO Green Office
• About the Sustainability Office
• Lab Sustainability Pilot
• TU/e Sustainability

Green Office Coordinator (12 hours per week) Green Office activities and projects are primarily initiated and carried out by students themselves. Students typically work for the Green Office for one to two years alongside their studies at TU/e.

As Coordinator, you provide continuity and are ultimately responsible for the overall direction and results of the Green Office:

• Coordination and connection: You are confident in making decisions and taking responsibility for the bigger picture, while giving students the freedom and ownership to shape a more sustainable TU/e. Your role is to share knowledge, provide guidance and create the conditions that allow students to take responsibility and grow.
• Strategic and content leadership: You play a key role in the long term development of the Green Office within TU/e. You contribute to its vision, strategy and policy, stimulate the execution of annual plans that align with the university’s sustainability agenda, and ensure effective knowledge transfer to new student assistants.
• HR responsibilities: You are responsible for HR related activities, including defining roles, coordinating recruitment and selection, supporting performance reviews, and coaching and developing Green Office team members.
• Financial management: You have overall responsibility for budgeting and financial monitoring. Within the annual planning cycle, you help set priorities for activities and projects and ensure that resources are aligned with these ambitions.

Sustainable Labs Project Lead (20-28 hours per week) As Sustainable Labs Project Lead, you are part of the team driving sustainability within education and research. Your focus is on the practical implementation of sustainability improvements in laboratories. Reporting to the Lead Operations within the Sustainability Office and working closely with the Lead Sustainable Research.

• Coordination and support of pilot projects: You take the lead in pilot projects. You are visible in the labs, maintain close contact with stakeholders and stay connected to day to day operations. You use these insights to accelerate implementation, improve project delivery and encourage knowledge sharing.
• Community building and scaling up: Your focus goes beyond individual projects and laboratories. You help build an active community where people collaborate, learn from one another, continuously improve and inspire others to take action. The lessons learned from pilot projects are translated into a framework that can be applied more broadly across the organization.
• Data collection and analysis: You understand that data drives improvement. You collect relevant information, analyze it carefully and translate findings into clear reports, visual insights and practical recommendations. Your curiosity helps uncover new opportunities and deeper understanding.
• Knowledge development and laboratory sustainability expertise: You actively build knowledge of existing methods and strategies for making laboratories more sustainable. You take a proactive approach to developing your expertise so that you can act as a knowledgeable sparring partner within the team.

PhD in Control Theory for Learned Operators in Dynamical Systems

Introduction
Are you fascinated by the intersection of control theory and scientific machine learning? Join us in developing the mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can represent dynamical systems, how their stability and robustness can be characterized, and how controllers can be designed for them. Your work will combine rigorous theory, numerical methods, and applications in high-tech, medical, and energy systems.

Job Description
Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a new class of models that learn operators mapping system inputs and initial conditions directly to system responses. These learned operators offer exciting opportunities for efficient simulation, digital twins, optimization, and control.

In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory. Rather than focusing on a single machine-learning architecture, you will establish mathematical principles that apply across a broad class of operator-learning methods, including current and future deep operator models.

Your research will investigate fundamental questions such as: when does a learned operator admit an equivalent state-space representation? How can stability, contraction, dissipativity, robustness, and other system-theoretic properties be defined and guaranteed directly in the operator domain? And how can feedforward, feedback, and predictive controllers be designed for systems represented by learned operators? You will combine analytical theory with numerical implementation and validate the developed methods on industrially relevant applications in the high-tech, medical, and energy sectors.

You will become part of the Dynamics and Control group at the Department of Mechanical Engineering at Eindhoven University of Technology, under the supervision of dr.ir. Fahim Shakib and prof.dr.ir. Nathan van de Wouw. You will contribute to research at the intersection of systems and control theory, scientific machine learning, operator theory, optimization, and applied mathematics. You will work in an interdisciplinary environment with opportunities to collaborate with academic and industrial partners. You will be part of a vibrant and socially interactive group of approximately 35 researchers in the field of dynamical systems and control.

Job Requirements

• A master’s degree (or an equivalent university degree) in Systems and Control, Mechanical Engineering, Electrical Engineering, Applied Mathematics, or a closely related field. A research-oriented attitude.
• Experience with and a strong interest in machine learning and artificial intelligence, and enthusiasm for combining these methods with systems and control theory.
• Excellent analytical and mathematical skills, with an interest in developing new theoretical results.
• An enthusiasm for combining theoretical research with numerical implementation.
• A research-oriented attitude and a strong curiosity for fundamental research.
• The ability to work independently while contributing effectively to an interdisciplinary research team and with industrial partners.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station.

In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,204 - max. € 4,051 gross base salary per month (full-time)).
• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, and on-campus children's day care.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the Expat Scheme) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Fahim Shakib, Assistant Professor, m.f.shakib@tue.nl.

Visit our website for more information about the application process. You can also contact Fahim Shakib, Assistant Professor, m.f.shakib@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Control Theory for Learned Operators in Dynamical Systems

Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a new class of models that learn operators mapping system inputs and initial conditions directly to system responses. These learned operators offer exciting opportunities for efficient simulation, digital twins, optimization, and control.

In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory. Rather than focusing on a single machine-learning architecture, you will establish mathematical principles that apply across a broad class of operator-learning methods, including current and future deep operator models.

Your research will investigate fundamental questions such as: when does a learned operator admit an equivalent state-space representation? How can stability, contraction, dissipativity, robustness, and other system-theoretic properties be defined and guaranteed directly in the operator domain? And how can feedforward, feedback, and predictive controllers be designed for systems represented by learned operators? You will combine analytical theory with numerical implementation and validate the developed methods on industrially relevant applications in the high-tech, medical, and energy sectors.

You will become part of the Dynamics and Control group at the Department of Mechanical Engineering at Eindhoven University of Technology, under the supervision of dr.ir. Fahim Shakib and prof.dr.ir. Nathan van de Wouw. You will contribute to research at the intersection of systems and control theory, scientific machine learning, operator theory, optimization, and applied mathematics. You will work in an interdisciplinary environment with opportunities to collaborate with academic and industrial partners. You will be part of a vibrant and socially interactive group of approximately 35 researchers in the field of dynamical systems and control.

University Teacher Data Analytics and AI (Full-time or Part-time)

Introduction
Do you enjoy inspiring the next generation of professionals? Are you enthusiastic about data analytics and AI? We are looking for a university teacher to develop and teach courses on data analytics and AI, possibly next to a job, PhD, or Post-doc position they are already fulfilling.

Job Description
We are seeking a University Teacher to teach courses in data analytics and AI and to supervise student projects, including bachelor’s and master’s thesis projects. Teaching responsibilities include developing and continuously updating course materials based on the latest scientific advances. This is especially important in the rapidly evolving fields of data analytics and AI, because courses must incorporate up-to-date AI methods, tools, and techniques. At the same time, students need to develop the skills to use AI responsibly and effectively as part of their learning process. You will play a key role in equipping students with both a strong theoretical foundation and the practical competencies to do this.

The position is based in the Information Systems group, in the Industrial Engineering and Innovation Sciences (IE&IS) department at Eindhoven University of Technology. You will be working with our professors, PhD students, and teaching assistants to deliver high-quality education. The Information Systems group develops methods, tools, and techniques that support the entire lifecycle of Information Systems development, including advanced analytics and AI. It focuses on leveraging data analytics and AI to enhance organizational decision-making. Applications across various sectors are studied, with a focus on healthcare, transportation and logistics, services, smart industry, mobility, and energy. As a member of the group, you will contribute to teaching students how to improve organizational decision making with data science and AI.

In this role, you will be responsible for developing and delivering high-quality course materials, teaching lectures and tutorials, designing assignments and exams, and supervising student projects, including bachelor’s and master’s thesis projects. In addition, 20% of your time will be dedicated to education-related research.

The position is initially offered for a period of six months on a full-time basis or up to twelve months on a part-time basis. The appointment can be combined with another part-time position, such as a role at another institution or an existing PhD or postdoctoral appointment at TU/e. Depending on performance and available funding, there may be opportunities to extend the appointment or move to a permanent position.

This position offers a unique opportunity to contribute to the education of the next generation of data analytics and AI professionals, while helping shape the future of AI education at the university.

Job Requirements
The successful candidate will meet most of the following requirements:

• You have a Master's or PhD degree in Data Science, AI, Computer Science, Industrial Engineering, or a similar field of study.
• You possess strong programming skills, preferably in Python, and are comfortable applying them in data analytics and AI contexts.
• You have a strong interest in education and some prior teaching experience, for example as a teaching assistant.
• You enjoy collaborating in (teaching) teams.
• Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting.
• Experience with the Dutch or broader European higher education system is considered a strong advantage.

The preferred starting date is January 1, 2027. A later date by up to 2 months is negotiable, but not preferred.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station.

In addition, we offer you:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 or 11, ranging from € 3,706 to € 6,682 gross base salary per month (full-time).
• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• A favorable arrangement for more holidays or a sabbatical.
• A selection model for additional fringe benefits.
• Working hours in consultation for an optimal work-life balance.
• An excellent technical infrastructure, and on-campus children's day care.
• Unlimited access to the modern on campus TU/e Student Sports Center at an exceptionally affordable rate.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
• Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Remco Dijkman, Chair of Information Systems, r.m.dijkman@tue.nl or +31 40 247 4370.

Visit our website for more information about the application process.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application!

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.