Assistant Professor In Sustainable Agentic AI

The Department of Mathematics and Computer Science is in the process of establishing a mission-driven and impactful collaboration on research and technology challenges of Zero-touch Systems. In this context, the department has a total of three vacancies at the assistant professor level. The mission of this joint multi-disciplinary research collaboration is to design, develop, verify, and validate the self-healing, autonomous systems of the future. This can only be achieved through a close interaction of various disciplines to ensure resiliency, intelligence, adaptation, security, and trust by design. The research is dedicated to the development of proven, integrated, and demonstrable solutions that advance autonomous systems to a level where their performance is rigorously always guaranteed and can be reliably trusted by humans.

The Zero-touch Systems research is expected to have significant societal impact and requires collaborative multi-disciplinary research to be successful. We expect outcome of this research to facilitate research, industry, and institutes nationally and worldwide to deploy and adopt the obtained research-based solutions. Participation in this research therefore requires strong commitment to work on impact-focused research, addressing scientific, technical and socio-technical challenges of Zero-touch systems.

We expect successful candidates to develop this mission-driven research program and create tangible societal impact through their research on, e.g.:

• Developing Agentic AI for enabling full autonomy of systems
• Developing "future-proof" methods for software engineering for autonomous systems
• Developing new methods to guarantee the safety and reliability of zero-touch systems

You will be evaluated on your achievements with respect to objectives and KPIs of the project and not only on traditional research metrics such as publications. You also play a leading role in building a community within and beyond the Department around the research questions and challenges of Zero-touch Systems.

The Interconnected Resource-aware Intelligent Systems (IRIS) cluster addresses current and future challenges of self-adaptation and configuration of multi-modal AI and its high environmental (energy and water) footprint. The Agentic AI is an essential area for enabling fully autonomous systems. It is envisioned that Agentic AI allows full perception of the system and the environment and decision making by the system. The current Agentic AI techniques, however, suffer from various shortcomings including low scalability, high time and resource/computation complexity, and low generalization capability.

This role is part of the IRIS cluster, with a focus on Agentic AI on making such systems data‑ and resource‑efficient as well as scalable. You will have the opportunity to address challenges in depth for autonomous systems, advancing the current boundaries of full autonomy and enabling efficient AI‑driven services for society.

We are especially looking for someone who can drive research breakthroughs in Agentic AI to ensure their learning, automatic adaptability, and responsible use and their wide adoption.

We expect you to develop and contribute to mission-driven research program of Zero-touch Systems from the scientific breakthrough to societal impact. Most specifically, to:

• Design and develop "future-proof" sustainable and scalable Agentic AI models.
• Enable/facilitate adoption/use cases of developed models.
• Contribute to national/university scientific roadmaps in sustainable AI.
• Facilitate schools nationally and worldwide to deploy our research-based instruments.

Assistant Professor In Formal Methods and Neuro-Symbolic AI

The Department of Mathematics and Computer Science is in the process of establishing a mission-driven and impactful collaboration on research and technology challenges of Zero-touch Systems. In this context, the department has a total of three vacancies at the assistant professor level. The mission of this joint multi-disciplinary research collaboration is to design, develop, verify, and validate the self-healing, autonomous systems of the future. This can only be achieved through a close interaction of various disciplines to ensure resiliency, intelligence, adaptation, security, and trust by design. The research is dedicated to the development of proven, integrated, and demonstrable solutions that advance autonomous systems to a level where their performance is rigorously always guaranteed and can be reliably trusted by humans.

The Zero-touch Systems research is expected to have significant societal impact and requires collaborative multi-disciplinary research to be successful. We expect outcome of this research to facilitate research, industry, and institutes nationally and worldwide to deploy and adopt the obtained research-based solutions. Participation in this research therefore requires strong commitment to work on impact-focused research, addressing scientific, technical and socio-technical challenges of Zero-touch systems.

We expect successful candidates to develop this mission-driven research program and create tangible societal impact through their research on, e.g.:

• Developing Agentic AI for enabling full autonomy of systems
• Developing "future-proof" methods for software engineering for autonomous systems
• Developing new methods to guarantee the safety and reliability of zero-touch systems

You will be evaluated on your achievements with respect to objectives and KPIs of the project and not only on traditional research metrics such as publications. You also play a leading role in building a community within and beyond the Department around the research questions and challenges of Zero-touch Systems.

The Formal System Analysis (FSA) Cluster studies formal techniques to model and analyze software and hardware systems. The goal is to develop techniques that are both mathematically elegant and practically effective. Techniques typically used are term rewriting, fixpoint logics, parity games, Markov models, SAT and SMT solving and symbolic state space representations. The group maintains several tools sets, such as mCRL2, Storm and Stark, which are used at several major industries and public bodies, generally as verification backends. The group has strong ties with industrial partners and actively strives to apply its methods in industrial contexts, fueling the economic and societal impact of the group.

This role is part of the FSA cluster within the department of Mathematics and Computer Science. Artificial Intelligence plays a central role in Zero-touch systems, enabling fast decision making in the many situations AI-enabled systems operate. However, ensuring reliability in uncertain or dynamic environments remains a significant challenge. The field of Formal Methods deals with theory and techniques for providing such guarantees.

This position focusses on the interdisciplinary area of Formal Methods and AI, developing theory and techniques to improve the reliability of autonomous and self-adapting systems by combining benefits from Formal Methods with the benefits of symbolic and sub-symbolic AI approaches. Examples include Runtime Verification and Shielding, reasoning about stochastics and Reinforcement Learning, Neuro-Symbolic AI, Neural Network Verification, and eXplainable AI. A strong background in the intersection of Formal Methods and AI is a prerequisite.

We expect successful candidates to develop and contribute to the department’s mission-driven Zero-touch Systems research, from scientific breakthroughs to societal impact, and specifically, to:

• Design and develop "future-proof" Neuro-Symbolic methods for Verification.
• Enable/facilitate/demonstrate development of (models for) Zero-touch Systems.
• Contribute to national/university scientific roadmaps in the area of Neuro-Symbolic AI.

Assistant Professor In Sustainable Agentic AI

Introduction
Are you motivated by mission-driven research? Are you eager to design and analyze next-generation autonomous, self-healing systems? Are you excited to help shape one of the fastest‑growing and most transformative fields of our time? Are you interested in translating vision of zero-touch autonomous systems into tangible and actionable research goals, and willing to demonstrate and validate Zero-touch systems in practice? If so, we would welcome the opportunity to assess your potential fit for this role, which forms part of a broader recruitment effort involving three assistant professor vacancies.

Job Description
The Department of Mathematics and Computer Science is in the process of establishing a mission-driven and impactful collaboration on research and technology challenges of Zero-touch Systems. In this context, the department has a total of three vacancies at the assistant professor level. The mission of this joint multi-disciplinary research collaboration is to design, develop, verify, and validate the self-healing, autonomous systems of the future. This can only be achieved through a close interaction of various disciplines to ensure resiliency, intelligence, adaptation, security, and trust by design. The research is dedicated to the development of proven, integrated, and demonstrable solutions that advance autonomous systems to a level where their performance is rigorously always guaranteed and can be reliably trusted by humans.

The Zero-touch Systems research is expected to have significant societal impact and requires collaborative multi-disciplinary research to be successful. We expect outcome of this research to facilitate research, industry, and institutes nationally and worldwide to deploy and adopt the obtained research-based solutions. Participation in this research therefore requires strong commitment to work on impact-focused research, addressing scientific, technical and socio-technical challenges of Zero-touch systems.

We expect successful candidates to develop this mission-driven research program and create tangible societal impact through their research on, e.g.:

• Developing Agentic AI for enabling full autonomy of systems
• Developing "future-proof" methods for software engineering for autonomous systems
• Developing new methods to guarantee the safety and reliability of zero-touch systems

You will be evaluated on your achievements with respect to objectives and KPIs of the project and not only on traditional research metrics such as publications. You also play a leading role in building a community within and beyond the Department around the research questions and challenges of Zero-touch Systems.

The Interconnected Resource-aware Intelligent Systems (IRIS) cluster addresses current and future challenges of self-adaptation and configuration of multi-modal AI and its high environmental (energy and water) footprint. The Agentic AI is an essential area for enabling fully autonomous systems. It is envisioned that Agentic AI allows full perception of the system and the environment and decision making by the system. The current Agentic AI techniques, however, suffer from various shortcomings including low scalability, high time and resource/computation complexity, and low generalization capability.

This role is part of the IRIS cluster, with a focus on Agentic AI on making such systems data‑ and resource‑efficient as well as scalable. You will have the opportunity to address challenges in depth for autonomous systems, advancing the current boundaries of full autonomy and enabling efficient AI‑driven services for society.

We are especially looking for someone who can drive research breakthroughs in Agentic AI to ensure their learning, automatic adaptability, and responsible use and their wide adoption.

We expect you to develop and contribute to mission-driven research program of Zero-touch Systems from the scientific breakthrough to societal impact. Most specifically, to:

• Design and develop "future-proof" sustainable and scalable Agentic AI models.
• Enable/facilitate adoption/use cases of developed models.
• Contribute to national/university scientific roadmaps in sustainable AI.
• Facilitate schools nationally and worldwide to deploy our research-based instruments.

Job Requirements

• Highly motivated researcher, with a PhD in Computer Science, Data Science, Electrical Engineering, or Mathematics with a strong publication record in the field of intelligent system design and engineering, software technology and verification, and outstanding research achievements and other indicators of international recognition;
• Strong achievements in terms of impact (beyond standard academic outreach such as publication in top venues). This requirement is especially in place because of the focus of the mission-driven research and impact of this position;
• Excellent engineering skills;
• Preferably at least 2 years of academic work experience after obtaining PhD;
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.
• Excellent team player and strong cooperation skills and ability to work in an interdisciplinary team, substantiated by tangible evidence;
• Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
• Excellent (written and verbal) proficiency in English.

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 11 (min. €4.728, - max. €6.433,-).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.
• High-quality training programs for academic leadership and teaching.
• 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.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

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.

You will join the Department of Mathematics and Computer Science (M&CS). With over 140 (assistant, associate and full) professors, almost 250 PhD and EngD students, nearly 3000 students, 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.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. dr. Nirvana Meratnia, Full Professor, n.meratnia@tue.nl.

Visit our website for more information about the application process. You can also contact Annette van Kamp-Rustenburg, Senior Recruiter, a.j.v.kamp.rustenburg1@tue.nl.

Curious to hear more about what it is like as a professor at TU/e? Please watch 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. 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.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

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

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.

Assistant Professor In Formal Methods and Neuro-Symbolic AI

Introduction
Are you motivated by mission-driven research? Are you eager to design and analyze next-generation autonomous, self-healing systems? Are you excited to help shape one of the fastest‑growing and most transformative fields of our time? Are you interested in translating vision of zero-touch autonomous systems into tangible and actionable research goals, and willing to demonstrate and validate Zero-touch systems in practice? If so, we would welcome the opportunity to assess your potential fit for this role, which forms part of a broader recruitment effort involving three assistant professor vacancies.

Job Description
The Department of Mathematics and Computer Science is in the process of establishing a mission-driven and impactful collaboration on research and technology challenges of Zero-touch Systems. In this context, the department has a total of three vacancies at the assistant professor level. The mission of this joint multi-disciplinary research collaboration is to design, develop, verify, and validate the self-healing, autonomous systems of the future. This can only be achieved through a close interaction of various disciplines to ensure resiliency, intelligence, adaptation, security, and trust by design. The research is dedicated to the development of proven, integrated, and demonstrable solutions that advance autonomous systems to a level where their performance is rigorously always guaranteed and can be reliably trusted by humans.

The Zero-touch Systems research is expected to have significant societal impact and requires collaborative multi-disciplinary research to be successful. We expect outcome of this research to facilitate research, industry, and institutes nationally and worldwide to deploy and adopt the obtained research-based solutions. Participation in this research therefore requires strong commitment to work on impact-focused research, addressing scientific, technical and socio-technical challenges of Zero-touch systems.

We expect successful candidates to develop this mission-driven research program and create tangible societal impact through their research on, e.g.:

• Developing Agentic AI for enabling full autonomy of systems
• Developing "future-proof" methods for software engineering for autonomous systems
• Developing new methods to guarantee the safety and reliability of zero-touch systems

You will be evaluated on your achievements with respect to objectives and KPIs of the project and not only on traditional research metrics such as publications. You also play a leading role in building a community within and beyond the Department around the research questions and challenges of Zero-touch Systems.

The Formal System Analysis (FSA) Cluster studies formal techniques to model and analyze software and hardware systems. The goal is to develop techniques that are both mathematically elegant and practically effective. Techniques typically used are term rewriting, fixpoint logics, parity games, Markov models, SAT and SMT solving and symbolic state space representations. The group maintains several tools sets, such as mCRL2, Storm and Stark, which are used at several major industries and public bodies, generally as verification backends. The group has strong ties with industrial partners and actively strives to apply its methods in industrial contexts, fueling the economic and societal impact of the group.

This role is part of the FSA cluster within the department of Mathematics and Computer Science. Artificial Intelligence plays a central role in Zero-touch systems, enabling fast decision making in the many situations AI-enabled systems operate. However, ensuring reliability in uncertain or dynamic environments remains a significant challenge. The field of Formal Methods deals with theory and techniques for providing such guarantees.

This position focusses on the interdisciplinary area of Formal Methods and AI, developing theory and techniques to improve the reliability of autonomous and self-adapting systems by combining benefits from Formal Methods with the benefits of symbolic and sub-symbolic AI approaches. Examples include Runtime Verification and Shielding, reasoning about stochastics and Reinforcement Learning, Neuro-Symbolic AI, Neural Network Verification, and eXplainable AI. A strong background in the intersection of Formal Methods and AI is a prerequisite.

We expect successful candidates to develop and contribute to the department’s mission-driven Zero-touch Systems research, from scientific breakthroughs to societal impact, and specifically, to:

• Design and develop "future-proof" Neuro-Symbolic methods for Verification.
• Enable/facilitate/demonstrate development of (models for) Zero-touch Systems.
• Contribute to national/university scientific roadmaps in the area of Neuro-Symbolic AI.

Job Requirements

• Highly motivated researcher, with a PhD in Computer Science, Data Science, Electrical Engineering, or Mathematics with a strong publication record in the field of intelligent system design and engineering, software technology and verification, and outstanding research achievements and other indicators of international recognition;
• Strong achievements in terms of impact (beyond standard academic outreach such as publication in top venues). This requirement is especially in place because of the focus of the mission-driven research and impact of this position;
• Excellent engineering skills;
• Preferably at least 2 years of academic work experience after obtaining PhD;
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.
• Excellent team player and strong cooperation skills and ability to work in an interdisciplinary team, substantiated by tangible evidence;
• Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
• Excellent (written and verbal) proficiency in English.

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 11 (min. €4.728, - max. €6.433,-).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.
• High-quality training programs for academic leadership and teaching.
• 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.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

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.

You will join the Department of Mathematics and Computer Science (M&CS). With over 140 (assistant, associate and full) professors, almost 250 PhD and EngD students, nearly 3000 students, 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.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. dr. Tim Willemse, Full Professor, t.a.c.willemse@tue.nl.

Visit our website for more information about the application process. You can also contact Annette van Kamp-Rustenburg, Senior Recruiter, a.j.v.kamp.rustenburg1@tue.nl.

Curious to hear more about what it is like as a professor at TU/e? Please watch 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. 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.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

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

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.

Linux Engineer

Ben jij een Linux system engineer die elke dag uitgedaagd wil worden? Aan de TU/e creëren wetenschappers en studenten voortdurend het ondenkbare. De kracht van het IT-landschap is hun sleutel tot succes en dus ook u. Deze creatieve geesten verwachten dat je hen een oplossing voor morgen biedt die vandaag niet bestaat. Samen bouwen we aan de hoogwaardige ruggengraat die dit epicentrum van wetenschap en technologie vereist.

Functieomschrijving
Om ons team van IT professionals uit te breiden zijn wij op zoek naar een medior/senior Linux engineer.

Je maakt deel uit van het LIS Compute & Storage Services-team, dat bestaat uit ongeveer 13 Linux-, Windows-, cloud- en infrastructuur engineers en de Scrum-methodologie gebruikt om hun werk te beheren. Dit team levert efficiënte, gestandaardiseerde, veilige, moderne technische IT-bouwstenen door een gevarieerde set van computing en storage producten /diensten en technisch advies aan te bieden aan business (product) Teams en Eindgebruikers.

Als Linux Engineer onderhoud je onze hybride server infrastructuur die bestaat uit een on-premise datacenter en een gestaag groeiend cloud landschap. Je bent de Linux expert in deze omgeving en naast de dagelijkse operaties en lifecycleprojecten, neem je deel aan het verder automatiseren van de omgeving met o.a. Ansible. Tevens ben je verantwoordelijk voor het ontwikkelen en beheren van interne tooling voor onze omgeving.

Jouw werkpakket:

• Het analyseren van technische vraagstukken, het geven van feedback aan zowel interne collega's als leveranciers, het managen van 3e lijns incidenten & wijzigingen.
• Daarnaast draag je bij aan het continue innoveren van onze Linux server omgeving.

Functie-eisen

• HBO werk- en denkniveau
• Analytisch vermogen, verbinder en toont ondernemerschap en creativiteit
• In bezit van een recente Linux-certificering (RHSA, RHCE of vergelijkbaar) of bereid zijn om deze te halen;
• Een bewezen trackrecord met één of meerdere bekende Linux distributies, bij voorkeur Ubuntu;
• Diepgaande kennis en ervaring met Linux management tooling (o.a. Ansible, Docker, Zabbix) en Hardening(CIS)
• Affiniteit met Microsoft Azure cloud, (KVM) Virtualisatie en Kubernetes.
• Basiskennis van netwerken & opslag;
• Basiservaring en kennis van privacy en security;
• Bekend met een Agile manier van werken, bij voorkeur SCRUM;
• Een flexibele en creatieve instelling
• Bereid om 3 dagen op campuslocatie te werken;
• Bereid om regelmatig deel te nemen aan een standby-service;
• Goede schriftelijke en mondelinge communicatievaardigheden in zowel Nederlandse als Engelse taal.
• Een VOG-aanvraag maakt deel uit van de selectieprocedure.

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:

• Een maandsalaris van minimaal € 3.546,- tot maximaal € 6.433,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 10-11 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.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de vacaturehouder: Ruud Vrijsen, Competence Manager, r.p.j.vrijsen@tue.nl.

Bezoek onze website voor meer informatie over het sollicitatieproces. Je kunt hierover ook contact opnemen met Mai Lan Pham, Senior Recruiter, m.l.t.pham@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.