Onderwijscoördinator

Introductie
Ben jij een organisatorisch sterke en analytische professional met een hart voor biomedisch onderwijs? Houd jij graag overzicht, zie je knelpunten aankomen voordat ze problemen worden en krijg je energie van het organiseren en verbeteren van onderwijs? Werk je graag samen met docenten, studenten en collega’s om onderwijs van hoge kwaliteit te realiseren? Dan maken we graag kennis met jou!
Voor de faculteit Biomedische Technologie zoeken wij een Onderwijscoördinator. In deze veelzijdige rol ben je de spil in het onderwijsprogramma: je bewaakt de continuïteit en kwaliteit van het lopende bachelor- en masteronderwijs, draagt bij aan structurele verbeteringen voor komende jaren en vertaalt beleidskaders naar concrete uitvoering in het curriculum. Je opereert op het snijvlak van onderwijsorganisatie, kwaliteitszorg en onderwijsvernieuwing en levert daarmee een directe bijdrage aan goed en toekomstbestendig onderwijs.

Herken jij jezelf hierin? Dan horen we graag van je!

Functieomschrijving
Als Onderwijscoördinator ben jij de verbindende schakel tussen docenten, studenten, onderwijsbeleid en onderwijsorganisatie. Je houdt overzicht op het lopende onderwijsprogramma en bewaakt de continuïteit en kwaliteit, signaleert tijdig knelpunten in onderwijs, planning en organisatie en pakt zowel structurele als ad-hoc vraagstukken effectief op.

Je analyseert data zoals, capaciteit en instroom, verwerkt feedback van docenten en studenten en vertaalt deze naar concrete verbetervoorstellen voor het huidige en toekomstige onderwijsprogramma, welke je ook helpt implementeren. Daarnaast vertaal je beleidskaders naar werkbare processen binnen het curriculum in afstemming met Quality Assurance. Je coördineert en ondersteunt bij de organisatie van tentamens en onderwijsactiviteiten, helpt docenten bij het gebruik van onderwijstools en digitale toetsen. Tot slot draag je bij aan onderwijsvernieuwing door nieuwe tools te introduceren en wensen van docenten te vertalen naar goed georganiseerd onderwijs. Teven ben je betrokken bij communicatie richting studenten, zoals het welkom voor eerstejaars en de voorlichting over keuzevakken en onderwijsprogramma’s.

Als onderwijscoördinator ben je lid van het team Education and Student Affairs (ESA) van de faculteit Biomedische Technologie. Dit team is verantwoordelijk voor de organisatie, coördinatie en ondersteuning van het bachelor- en masteronderwijs van de faculteit. Samen levert dit team o.a. een goed ontworpen curriculum, onderwijs- en examenschema's, kwaliteitsborging en adequaat studieadvies.

Binnen de faculteit werk je nauw samen met onze andere onderwijscoördinator, de educational advisor en andere medewerkers van het ESA-team, zoals de kwaliteitsmedewerker, de roosteraar en de studentenadministratie. Uiteraard investeer je in en onderhoud je een inspirerende alliantie met de docenten, de programmadirecteur en de manager ESA. Op universitair niveau werk je samen met het centrale ESA-ondersteuningsteam.

Functie-eisen
Wij zoeken een collega die overzicht weet te houden in een complexe onderwijsomgeving en die verbetering en vernieuwing met elkaar weet te verbinden.

• Je hebt minimaal een HBO opleiding;
• Je hebt ervaring met (hoger) onderwijs en onderwijsorganisatie, bij voorkeur in de bèta disciplines;
• Je hebt ervaring of grote affiniteit met digitale onderwijstools;
• Je beschikt over sterk analytisch vermogen en een gestructureerde werkwijze;
• Je bent communicatief vaardig en weet verschillende belangen te verbinden;
• Je hebt een zelfstandige, proactieve en oplossingsgerichte houding;
• Je kunt goed samenwerken met docenten, studenten en ondersteunende afdelingen;
• Je beheerst de Nederlandse èn Engelse taal uitstekend in woord en geschrift;
• Je staat bekend om je organisatiesensitiviteit, integriteit, flexibiliteit en verbetergerichte mindset;
• Sleutelwoorden: overzicht, kwaliteit, verbinden, analyseren, organiseren, verbeteren, samenwerken.

Twijfel je of je voldoende aan de eisen voldoet, maar word je wel enthousiast van deze baan? Dan nodigen we je toch uit om te reageren – we kijken graag naar je profiel.

Arbeidsvoorwaarden
Een boeiende positie binnen een internationale en tegelijkertijd persoonlijke universiteit. Je zit midden tussen de studenten, op een groene campus op loopafstand van het centraal station. Daarnaast bieden we jou:

• Het dienstverband is een aanstelling voor de periode van een jaar voor 0.6 fte. Als de prestaties goed zijn en de financiële voorwaarden gelijk blijven, kan het dienstverband voor onbepaalde tijd worden verlengd.
• Een maandsalaris van minimaal € 3.708,- tot maximaal € 5.538,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 9/10 cao Nederlandse Universiteiten).
• Naast vakantiegeld, een structurele eindejaarsuitkering van 8,3%.
• Een gunstige regeling voor extra verlofdagen of een sabbatical.
• Een keuzemodel voor extra secundaire arbeidsvoorwaarden.
• Werktijden in overleg voor een optimale werk-privé balans.
• Ruimte voor jouw talent met doorgroeikansen en uitstekende ontwikkelmogelijkheden, zoals mentoring, workshops en coaching.
• Deels betaald ouderschapsverlof en een vergoeding voor reiskosten woon-werkverkeer, thuiswerken en internet.
• Een ruime werkgeversbijdrage aan de gunstige ABP-pensioenregeling.
• Toegang tot het moderne sportcentrum op de TU/e‑campus tegen een uitzonderlijk voordelig tarief.

Hier ontdek je nog meer informatie over onze arbeidsvoorwaarden. Bouw verder aan je carrière bij de TU/e!

Over ons
Wij zijn een toonaangevende internationale universiteit waar wetenschappelijke nieuwsgierigheid samenkomt met een pragmatische, hands‑on mentaliteit. We werken op een open en samenwerkingsgerichte manier met hightechindustrieën om complexe maatschappelijke uitdagingen aan te pakken. Onze verantwoordelijke en respectvolle benadering zorgt voor impact — vandaag én in de toekomst. TU/e is de thuisbasis van meer dan 13.000 studenten en ruim 7.000 medewerkers, samen een diverse en bruisende academische gemeenschap.

Onze universiteit bevindt zich in Brainport Eindhoven — een wereldwijd toonaangevende technologieregio met meer dan 7.000 hightechbedrijven en sterke R&D‑activiteiten. Brainport staat bekend om doorbraken op het gebied van AI, fotonica, halfgeleiders en geavanceerde maakindustrie. Het is een regio waar technologie in dienst staat van mensen en de samenleving. Meer informatie over de Brainport‑regio vind je hier.

Faculteit Biomedical Engineering: Engineering Health
De faculteit Biomedical Engineering (BmE) combineert engineering en levenswetenschappen om biomedische uitdagingen op te lossen en de gezondheidszorg te verbeteren. BmE voert toonaangevend onderzoek uit op het gebied van chemische biologie, regeneratieve technologie, materialen en biomedische beeldvorming & modellering. Medewerkers verzorgen hoogwaardig onderwijs voor bachelor- en masterstudenten en voor EngD- en PhD-kandidaten binnen de (bio)medische technologie. Door multidisciplinaire samenwerking met ziekenhuizen, industrie en andere partners draagt de faculteit bij aan oplossingen voor grote maatschappelijke uitdagingen. De faculteit telt ongeveer 850 studenten en 300 medewerkers, waarvan meer dan 150 PhD-onderzoekers.
Je wordt onderdeel van het Education and Student Affairs (ESA) team van de faculteit.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de manager ESA dr. Jeroen van Kilsdonk j.w.j.v.kilsdonk@tue.nl.

Bezoek onze website voor meer informatie over het sollicitatieproces. Je kunt hierover ook contact opnemen met Sascha Sanchez, HR-adviseur: hradvicebme@tue.nl.

Nieuwsgierig geworden? Op www.tue.nl/jobs vind je meer over werken bij de TU/e.

Sollicitatie
Ben je geïnteresseerd? Via de solliciteerknop ontvangen we graag je CV en brief met motivatie en omschrijving van je kwalificaties. Zorg ervoor dat je alle gevraagde documenten toevoegt. Wij geven voorrang aan complete sollicitaties.

De screening van kandidaten begint zodra de sollicitaties zijn ontvangen en gaat door totdat de vacature is ingevuld. Indien van toepassing, krijgen interne kandidaten bij gelijke geschiktheid voorrang op externe kandidaten.

We kijken uit naar je sollicitatie!

Let op

• Je kunt online solliciteren. Sollicitaties die per e-mail en/of post worden verstuurd, worden niet in behandeling genomen.
• Een voorafgaande screening (bijvoorbeeld een Verklaring omtrent Gedrag of kennisveiligheidscheck) kan onderdeel zijn van de selectieprocedure. Voor meer informatie over de kennisveiligheidscheck, raadpleeg de Nationale Richtlijnen Kennisveiligheid.
• Wij verzoeken je geen contact met ons op te nemen voor ongevraagde diensten.

Onderwijscoördinator

Als Onderwijscoördinator ben jij de verbindende schakel tussen docenten, studenten, onderwijsbeleid en onderwijsorganisatie. Je houdt overzicht op het lopende onderwijsprogramma en bewaakt de continuïteit en kwaliteit, signaleert tijdig knelpunten in onderwijs, planning en organisatie en pakt zowel structurele als ad-hoc vraagstukken effectief op.

Je analyseert data zoals, capaciteit en instroom, verwerkt feedback van docenten en studenten en vertaalt deze naar concrete verbetervoorstellen voor het huidige en toekomstige onderwijsprogramma, welke je ook helpt implementeren. Daarnaast vertaal je beleidskaders naar werkbare processen binnen het curriculum in afstemming met Quality Assurance. Je coördineert en ondersteunt bij de organisatie van tentamens en onderwijsactiviteiten, helpt docenten bij het gebruik van onderwijstools en digitale toetsen. Tot slot draag je bij aan onderwijsvernieuwing door nieuwe tools te introduceren en wensen van docenten te vertalen naar goed georganiseerd onderwijs. Teven ben je betrokken bij communicatie richting studenten, zoals het welkom voor eerstejaars en de voorlichting over keuzevakken en onderwijsprogramma’s.

Als onderwijscoördinator ben je lid van het team Education and Student Affairs (ESA) van de faculteit Biomedische Technologie. Dit team is verantwoordelijk voor de organisatie, coördinatie en ondersteuning van het bachelor- en masteronderwijs van de faculteit. Samen levert dit team o.a. een goed ontworpen curriculum, onderwijs- en examenschema's, kwaliteitsborging en adequaat studieadvies.

Binnen de faculteit werk je nauw samen met onze andere onderwijscoördinator, de educational advisor en andere medewerkers van het ESA-team, zoals de kwaliteitsmedewerker, de roosteraar en de studentenadministratie. Uiteraard investeer je in en onderhoud je een inspirerende alliantie met de docenten, de programmadirecteur en de manager ESA. Op universitair niveau werk je samen met het centrale ESA-ondersteuningsteam.

Engineering Doctorate (EngD) Programs in Data, Software & Systems Design

Introduction
With over 140 (assistant, associate and full) professors, almost 250 PhD and EngD students, more than 3000 students, the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

View our We Are Mathematics and Computer Science | TU/e to get to know us.

Job Description
Ready to take the next step after your MSc and launch your career? Want to become a professional and work with top organizations in the Netherlands?

We offer a unique, two-year, accredited, full-time post-master's program leading to an Engineering Doctorate (EngD) degree. This is a paid position with no tuition fees, designed to bridge the gap between academia and industry.

An EngD program is on par with a PhD program. The main difference with a PhD is the focus: a PhD is aimed to establish you as an independent researcher and an EngD prepares you for a high-level position in industry.

We’re looking for ambitious and highly motivated graduates to join our upcoming EngD programs.

The EngD programs in Data Science, Software Technology, Automotive Systems Design, and Mechatronic Systems Design within the Jheronimus Academy of Data Science (JADS) ecosystem in ’s-Hertogenbosch are embedded in an unique interdisciplinary environment focused on data, software, systems engineering, and industrial innovation.

What we offer Our prestigious EngD programs are run in close collaboration with leading companies and organizations such as ASML, Philips, Unilever, Thermo Fisher Scientific, Canon Production Printing, DAF Trucks, and many others. The programs provide top-tier MSc graduates with the opportunity to grow through real-world experience and large-scale interdisciplinary design projects.

Trainees expand and broaden their technical expertise, design capabilities, and professional skills through courses, workshops, and project-based learning. Throughout the program, trainees work on challenges connected to industrial and societal partners. Trainees will be responsible for executing at least one large project at and in close collaboration with one of the companies, public-sector organizations or research consortia.

During the recruitment phase some trainees may already be connected to specific innovation projects or strategic industry challenges, but this depends on the specialization track, the timing and available industrial collaborations. Some projects can be executed together with a single company or within larger consortia involving multiple industrial and academic partners.

More detailed information can be found on our website: 2-year post master technology: Engineering Doctorate (EngD)

The tracks
The Department of Mathematics and Computer Science at TU/e offers specialized EngD programs in Data Science, Software Technology, Automotive Systems Design, and Mechatronic Systems Design:

1. Data Science
Data Science focuses on designing and developing data-driven and AI-enabled solutions for complex real-world challenges. The program prepares professionals for the capability to extract insights and value from large, heterogeneous datasets across industrial and societal domains.

Trainees learn how to:

Collect, structure, analyze, and interpret complex datasets

Design, develop, and deploy scalable machine learning and AI solutions

Operationalize data products using modern data engineering and MLOps practices

Translate data-driven insights into valuable solutions for stakeholders

The track combines statistics, machine learning, computer science, mathematics, software engineering, and systems thinking with practical business understanding and design methodologies. Trainees work on multidisciplinary projects in domains such as high-tech, manufacturing, logistics, mobility, sustainability, and healthcare systems. Emphasis is placed on designing robust and maintainable AI systems for complex industrial environments, while considering ethical, legal, and societal aspects.

2. Software Technology
Software is essential for almost all modern products and services. Complex high-tech systems, from wafer steppers and medical scanners to advanced vehicles, rely on sophisticated software. As demand for innovation in these systems increases, so does the complexity of the software.

This track focuses on advanced software design and system architecture for software-intensive systems common in high-tech industries. This track prepares you for the demanding requirements of multinational companies in dynamic, technology-driven environments.

3. Automotive / Mechatronic Systems Design
The automotive and mechatronics sectors have become high-tech fields requiring a multidisciplinary approach to product and process innovation. The shift towards smart components and autonomous systems is transforming the industry. The program emphasizes system-level thinking, hardware and software integration, and the ability to collaborate across disciplines.

This track prepares you to address complex design challenges and lead innovation in high-tech settings. You become an expert in developing advanced systems for robotics, automation, manufacturing, and smart mobility solutions.

Job Requirements
We are looking for ambitious and highly talented MSc graduates who aspire to become future technology and innovation leaders. Successful candidates combine scientific rigor, engineering excellence, and the ability to translate knowledge into practical solutions in complex industrial environments.

Applicants should possess:

• A recent, relevant Master of Science (MSc) degree with strong academic performance*
• A solid foundation in their technical discipline and the ability to quickly acquire and apply new knowledge
• Strong engineering skills, demonstrated through the design, development, analysis, or realization of technical systems, models, or solutions relevant to their field
• Experience working independently on a substantial project, preferably demonstrated through an MSc thesis, research project, internship, or industrial collaboration
• A systems-oriented mindset and the ability to understand interactions between technical, organizational, and operational aspects of a problem
• Affinity with industrial innovation and the ambition to create business and societal impact through technology and engineering
• Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams
• A proactive, independent, and professional attitude, combined with a willingness to continuously learn and develop
• Excellent proficiency in written and spoken English

*Degree Requirements
MSc in Applied Mathematics, Statistics, Computer Science, Data Science, Artificial Intelligence, Mechatronics, Robotics, Systems & Control, Electrical Engineering, Mechanical Engineering, Embedded Systems, Aerospace Engineering, Applied Physics, Automotive Technology, or closely related fields.

Conditions of Employment

• Full-time employment for two years.
• 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 TOIO (€ 3,029).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) 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 Eindhoven University of Technology
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.

About JADS
JADS is a unique cooperation between the Province of North Brabant, the Municipality of ‘s-Hertogenbosch, Tilburg University and Eindhoven University of Technology (TU/e). Various data science programs are begin offered. From bachelor and master programs, to EngD education and professional education. Besides, JADS helps organizations shape their data driven future.

At JADS, researchers and students work closely with the business community. In addition to education and research, JADS also offers space for innovative, data-driven entrepreneurship and public-private partnerships.

Information
For more information please contact our recruiter Ivo Uitdenbogaart, i.uitdenbogaart@tue.nl.

For detailed information about the tracks, please visit:

https://www.jads.nl/education/engd-program-data-science/

https://www.tue.nl/en/education/graduate-school/engd-software-technology

https://www.tue.nl/en/education/graduate-school/engd-automotive-systems-design

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

• A motivation letter outlining your interest in the EngD program at TU/e and explaining why you are a good candidate
• An extended curriculum vitae (CV), including extracurricular activities
• Copies of relevant BSc and MSc diplomas and grade transcripts
• 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.
• A description of the project you are most proud of and specifically your accomplishments in this project. (1 page)

Ensure that you submit all the requested application documents.
Please note that incomplete applications can’t be processed.

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.

During the selection process, candidates may also be evaluated to see if their profile fits with ongoing or upcoming industrial projects within the EngD ecosystem.

We look forward to receiving your application at the latest on July 10, 23:59 CET, 2026.
Applications will be reviewed as soon as possible.

Engineering Doctorate (EngD) Programs in Data, Software & Systems Design

Ready to take the next step after your MSc and launch your career? Want to become a professional and work with top organizations in the Netherlands?

We offer a unique, two-year, accredited, full-time post-master's program leading to an Engineering Doctorate (EngD) degree. This is a paid position with no tuition fees, designed to bridge the gap between academia and industry.

An EngD program is on par with a PhD program. The main difference with a PhD is the focus: a PhD is aimed to establish you as an independent researcher and an EngD prepares you for a high-level position in industry.

We’re looking for ambitious and highly motivated graduates to join our upcoming EngD programs.

The EngD programs in Data Science, Software Technology, Automotive Systems Design, and Mechatronic Systems Design within the Jheronimus Academy of Data Science (JADS) ecosystem in ’s-Hertogenbosch are embedded in an unique interdisciplinary environment focused on data, software, systems engineering, and industrial innovation.

What we offer Our prestigious EngD programs are run in close collaboration with leading companies and organizations such as ASML, Philips, Unilever, Thermo Fisher Scientific, Canon Production Printing, DAF Trucks, and many others. The programs provide top-tier MSc graduates with the opportunity to grow through real-world experience and large-scale interdisciplinary design projects.

Trainees expand and broaden their technical expertise, design capabilities, and professional skills through courses, workshops, and project-based learning. Throughout the program, trainees work on challenges connected to industrial and societal partners. Trainees will be responsible for executing at least one large project at and in close collaboration with one of the companies, public-sector organizations or research consortia.

During the recruitment phase some trainees may already be connected to specific innovation projects or strategic industry challenges, but this depends on the specialization track, the timing and available industrial collaborations. Some projects can be executed together with a single company or within larger consortia involving multiple industrial and academic partners.

More detailed information can be found on our website: 2-year post master technology: Engineering Doctorate (EngD)

PhD in AI for reconfigurable robot collectives and real-time flow control

Introduction
How can a collective of robots become a “living”, reconfigurable infrastructure to support real-time and safe crowd management in a dynamic urban environment?

We are seeking a highly motivated PhD candidate to help us answer this question by joining the Roboflow team https://roboflow.phys.tue.nl/roboflow/, taking part in the RE-FLOW (REconfigurable robot collectives for real-time FLOW control) project. RE-FLOW, supported by the EAISI Multidisciplinary AI Research (EMDAIR) program, aims to combine control theory, robotics, applied physics, and computer science to lay the foundations for a new generation of AI-enabled robot collectives that can act as adaptive physical infrastructures.

Job Description
You will develop the intelligence layer of the RE-FLOW architecture, developing new closed-loop flow-shaping approaches to answer a central research question:

How can high-dimensional, emergent crowd dynamics and hazard information be translated into optimal and safe geometric configurations of a robot collective in real time?
Rather than controlling individual robots, you will investigate how high-level geometric structures—such as corridors, barriers, and splitters—can be synthesized automatically from observations of pedestrian flow, enabling the robot collective to act as a form of adaptive physical infrastructure that continuously reshapes itself in response to evolving crowd dynamics, hazards, and environmental changes.

Under the joint supervision of Valentina Breschi (Department of Electrical Engineering), Elena Torta (Department of Mechanical Engineering), and Federico Toschi (Department of Applied Physics and Science Education), you will develop novel methods to:

• Extract actionable information from crowd-flow observations, such as congestion patterns, bottlenecks, and indicators of reactions to emerging hazards.
• Design learning-based policies that generate safe, high-level geometric configurations for robot collectives accounting for both flow performance and physical feasibility of collective reconfiguration.
• Validate the developed methods in simulation and on TU/e’s RoboFlow robotic testbed.

This project offers a unique opportunity to work on a new research direction at the intersection of control, AI, and robotics. You will collaborate with researchers from Electrical Engineering, Computer Science, Applied Physics, and Mechanical Engineering and become part of the vibrant AI ecosystem of TU/e and the Eindhoven Artificial Intelligence Systems Institute (EAISI).

Job Requirements
We are looking for candidates with:

• A Master's degree in Robotics, Control Systems, Electrical Engineering, Artificial Intelligence, Computer Science, Applied Mathematics, or a related discipline. Strong analytical and mathematical skills.
• Experience with control, machine learning, or optimization.
• Excellent programming skills, preferably in Python.
• Good communication skills and the ability to work in an interdisciplinary research team.

Experience with Reinforcement Learning, Model Predictive Control, robotics, or multi-agent systems is considered an advantage.

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. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• 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, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) 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.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to know more?

Visit our website for more information about the application process. You can also contact dr. Valentina Breschi v.breschi@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. Please note that incomplete applications may not be considered and could be rejected.

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.