Skills Trainer/(Career) Coach

Binnen het Career and Professional Skills (CAPS) team zoeken we een skills trainer/coach. Je zult deel uitmaken van ons team van negen trainers/coaches, elk met een verschillende expertise. We werken dan ook veel in subteams en zoeken een collega die voornamelijk studenten gaat trainen op het gebied van professionele vaardigheden en gaat coachen bij studie- en carrièrekeuzes en het leuk vindt om te innoveren en experimenteren met het opzetten en verzorgen van nieuwe trainingen.

Ons Career and Professional Skills team is onderdeel van de centrale afdeling Education and Student Affairs (ESA) en levert diensten aan alle BSc/MSc studenten en Eng D (Engineering Doctorate) trainees van alle faculteiten.

Wat ga je doen:

• Ontwikkelen en geven van vernieuwende trainingssessies om professionele vaardigheden (samenwerken, plannen & organiseren, presenteren, reflecteren) van studenten te verbeteren.
• Trainen vakken Careeer Development en Professional Development.
• Studiekeuze en of Carrière coachgesprekken voeren met studenten.
• Het geven van bestuurstrainingen aan (kandidaats)besturen van studie-, sport- en studentenverenigingen. Dit betreft trainingen zoals strategie&visie, leiderschap en communicatie.

Associate Professor In Generative AI

You will join the Department of Mathematics and Computer Science (M&CS) which is the largest department of the Eindhoven University of Technology (TU/e) and one of the largest departments in the Netherlands in the area of mathematics and computer science. M&CS has approximately 535 employees with more than 148 scientific staff (assistant, associate, and full professors) and more than 264 PhD, Postdoc and EngD students. The department has research collaborations with the other departments at TU/e, with many organizations in the Brainport region, and with universities and companies in the Netherlands and abroad.

M&CS is organized in three different domains: mathematics, computer science, and data science. The position of associate professor on Generative AI will be part of the cluster Data and Artificial Intelligence. The Data and Artificial Intelligence (DAI) cluster studies foundations of AI for the present and the future. It is focused on the design of new AI methods and the development of AI algorithms and tools to expand the reach of AI and its generalization abilities. In particular, the DAI cluster studies foundational issues of robustness, safety, fairness, trust, reliability, tractability, scalability, interpretability, and explainability of AI.

Research within Generative AI
The field of Generative AI tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Generative AI goes beyond the typical predictive modeling and brings together supervised learning and unsupervised learning by utilizing the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order. Nowadays, the distribution is parameterized using deep neural networks. There are two distinct traits of Generative AI. First, the application of deep neural networks allows rich and flexible parameterization of distributions. Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning. Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. As a result, Generative AI aims for formulating deep generative models that could be used for defining generative processes, synthesizing new data, and quantifying uncertainty.

The Associate Professor in Generative AI is expected to drive research in Generative AI, developing strong theoretical and practical results with clear societal impact. The position requires deep and broad insight into the research domain and a leading role in the field. This should be supported by a strong publication record and other forms of international recognition.

Your tasks involve:

• To stimulate research of the Data and Artificial Intelligence cluster, to initiate new and strengthen existing research directions.
• To take responsibility in developing and executing top quality education in the Computer Science, Data Science and AI programs of the department. A concrete opportunity is to develop and teach a stable Deep Learning course suitable for our master programs.
• To supervise BSc, MSc, PhD, and EngD students.
• To initiate, acquire and coordinate research projects, in the context of external funding, and to assist colleagues in such endeavors.
• To take a proactive role in strengthening the relations with international partners.
• To perform managerial and/or administrative tasks for the department, the university, or inter-university institutes.

Skills Trainer/(Career) Coach

Introductie
Ben jij een enthousiaste professional op het gebied van training en coaching? Heb je een passie voor het geven van trainingen op het gebied van professionele vaardigheden, carrière ontwikkeling en het stimuleren van persoonlijke groei bij studenten? Dan zijn wij op zoek naar jou!

Functieomschrijving
Binnen het Career and Professional Skills (CAPS) team zoeken we een skills trainer/coach. Je zult deel uitmaken van ons team van negen trainers/coaches, elk met een verschillende expertise. We werken dan ook veel in subteams en zoeken een collega die voornamelijk studenten gaat trainen op het gebied van professionele vaardigheden en gaat coachen bij studie- en carrièrekeuzes en het leuk vindt om te innoveren en experimenteren met het opzetten en verzorgen van nieuwe trainingen.

Ons Career and Professional Skills team is onderdeel van de centrale afdeling Education and Student Affairs (ESA) en levert diensten aan alle BSc/MSc studenten en Eng D (Engineering Doctorate) trainees van alle faculteiten.

Wat ga je doen:

• Ontwikkelen en geven van vernieuwende trainingssessies om professionele vaardigheden (samenwerken, plannen & organiseren, presenteren, reflecteren) van studenten te verbeteren.
• Trainen vakken Careeer Development en Professional Development.
• Studiekeuze en of Carrière coachgesprekken voeren met studenten.
• Het geven van bestuurstrainingen aan (kandidaats)besturen van studie-, sport- en studentenverenigingen. Dit betreft trainingen zoals strategie&visie, leiderschap en communicatie.

Functie-eisen
Wat zoeken wij in onze nieuwe collega?

• Je bent creatief en in staat om trainingen te en verzorgen voor diverse bachelor en master studenten.
• Je bent empathisch en hebt ervaring met coaching en/of training geven.
• Je drukt je zowel schriftelijk als mondeling gemakkelijk uit in het Engels voor het geven van trainingen en workshops; binnen het team is Nederlands de voertaal.
• Je bent 32 uur per week beschikbaar.

Sluit je aan bij ons informele en persoonlijke team, en help je mee verder te bouwen aan een hoogwaardige, professionele service? Wij hechten veel waarde aan klantgerichtheid, leervermogen en samenwerking. Gebaseerd op de onderwijsvisie van de TU/e, richten we ons op het respecteren en vergroten van de zelfredzaamheid van studenten.

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:

• Een maandsalaris van minimaal € 3.708,- tot maximaal € 5.057,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 9 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.

Education and Student Affairs (ESA) is het centrale punt binnen de TU/e waar studenten en medewerkers uiteenlopende vormen van onderwijsondersteuning ontvangen. Er is een centrale ESA-afdeling met vier divisies (Center for Student Administration, Policy, Advice and Projects, Student Facilities en Teacher Support and Quality Assurance) en een ESA-team op elke faculteit.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de vacaturehouder: Deirdre Homminga, teammanager, d.homminga@tue.nl.

Bezoek onze website voor meer informatie over het sollicitatieproces. Je kunt hierover ook contact opnemen met HR Services Support Units, hrservices.supportunits@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 met daarin antwoord op de volgende vragen:

• Wat mij het meest aanspreekt in de vacature is?
• Wie ben ik als trainer?
• Wie ben ik als coach?

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.

Associate Professor In Generative AI

Introduction
Are you motivated to advance the scientific foundations of Generative AI and contribute to the development of rigorous, reliable, and societally relevant AI systems? Are you prepared to take a leading role in shaping research and education within a major academic department at the forefront of mathematics, computer science, data science, and AI?

The Department of Mathematics and Computer Science at Eindhoven University of Technology, one of the largest and most research‑intensive departments in the Netherlands, invites applications for the position of Associate Professor in Generative AI. Embedded within the Data and Artificial Intelligence cluster, you have the opportunity to contribute to advancing fundamental AI methodology, strengthening international collaborations, and supporting the department’s mission to develop robust, trustworthy, and theoretically grounded AI systems with broad scientific and societal impact.

Job Description
You will join the Department of Mathematics and Computer Science (M&CS) which is the largest department of the Eindhoven University of Technology (TU/e) and one of the largest departments in the Netherlands in the area of mathematics and computer science. M&CS has approximately 535 employees with more than 148 scientific staff (assistant, associate, and full professors) and more than 264 PhD, Postdoc and EngD students. The department has research collaborations with the other departments at TU/e, with many organizations in the Brainport region, and with universities and companies in the Netherlands and abroad.

M&CS is organized in three different domains: mathematics, computer science, and data science. The position of associate professor on Generative AI will be part of the cluster Data and Artificial Intelligence. The Data and Artificial Intelligence (DAI) cluster studies foundations of AI for the present and the future. It is focused on the design of new AI methods and the development of AI algorithms and tools to expand the reach of AI and its generalization abilities. In particular, the DAI cluster studies foundational issues of robustness, safety, fairness, trust, reliability, tractability, scalability, interpretability, and explainability of AI.

Research within Generative AI
The field of Generative AI tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Generative AI goes beyond the typical predictive modeling and brings together supervised learning and unsupervised learning by utilizing the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order. Nowadays, the distribution is parameterized using deep neural networks. There are two distinct traits of Generative AI. First, the application of deep neural networks allows rich and flexible parameterization of distributions. Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning. Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. As a result, Generative AI aims for formulating deep generative models that could be used for defining generative processes, synthesizing new data, and quantifying uncertainty.

The Associate Professor in Generative AI is expected to drive research in Generative AI, developing strong theoretical and practical results with clear societal impact. The position requires deep and broad insight into the research domain and a leading role in the field. This should be supported by a strong publication record and other forms of international recognition.

Your tasks involve:

• To stimulate research of the Data and Artificial Intelligence cluster, to initiate new and strengthen existing research directions.
• To take responsibility in developing and executing top quality education in the Computer Science, Data Science and AI programs of the department. A concrete opportunity is to develop and teach a stable Deep Learning course suitable for our master programs.
• To supervise BSc, MSc, PhD, and EngD students.
• To initiate, acquire and coordinate research projects, in the context of external funding, and to assist colleagues in such endeavors.
• To take a proactive role in strengthening the relations with international partners.
• To perform managerial and/or administrative tasks for the department, the university, or inter-university institutes.

Job Requirements

• Motivated researcher, with a PhD and track record in generative AI.
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• Ability to teach, demonstrated by experience in teaching. Informed vision on teaching and learning within your own discipline.
• Strong cooperation skills and ability to work in an interdisciplinary team.
• 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 13 or 14 (min. €6,512.- max. €8,673.-).
• 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.
• 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.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. Dr. Mykola Pechenizkiy, m.pechenizkiy@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).

While the position will remain open until mid‑August, we plan to begin reviewing the first applications at the end of June. We would therefore appreciate receiving your application at your earliest convenience.

Please 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.

PhD in Synchronization in soft autonomous machines

Introduction
Are you fascinated by nonlinear mechanical and dynamical behaviour? Do you want to explore how we can use effects such as self-oscillations and synchronization to introduce and design emergent autonomous behaviour in soft machines? Do you operate best in an interdisciplinary team?

Job Description
How can we harness dynamical behaviour—rather than suppress it—to achieve autonomy in soft robotics? In this PhD, you will explore how synchronization in self-oscillating soft tubes and other systems can give rise to collective, emergent behavior. Building on recent work that was inspired by the dynamics of inflatable sky dancers (see short movie about our publication in Science), you will investigate how mechanical interactions between self-oscillators can be designed to achieve robust, adaptive, and autonomous operation in soft machines.

Your role: You will design and study soft bodies with embedded pneumatic circuits that exhibit tunable oscillatory behavior. By shaping both material properties and fluidic network architectures, you will uncover how synchronization patterns emerge—and how they can be controlled to enable different modes of locomotion, manipulation, or sensing.

You will combine experiments and numerical simulations, with a strong emphasis on hands-on experimentation and data analysis. You will build and test physical systems by using rapid prototyping techniques, develop measurement and analysis tools, and use simulations to guide design and interpretation. This is a curiosity-driven project at the intersection of physics, soft robotics, and nonlinear dynamics, with the goal of redefining how we control compliant machines. Your work will help establish new design principles for soft robotic systems that can operate robustly in uncertain environments without complex control.

Research environment: You will work in Autonomous Matter & Machines Lab at TU/e (formerly Soft Robotic Matter at AMOLF), which is part of the Dynamics & Control Section in the Mechanical Engineering Department. You will be embedded in a collaborative and inclusive team that combines experimental physics, materials science, and robotics, with access to state-of-the-art fabrication and experimental facilities.

The Autonomous Matter & Machines Lab explores how to embody autonomous behaviour in soft machines and materials. We draw inspiration from seemingly simple mechanical and dynamical phenomena like the sputtering of a ketchup bottle, the flailing of a sky dancer, or the symmetry-breaking occurring upon the inflation of interconnected balloons, that turn out to originate from rich nonlinear behaviour. These tangible and often playful systems provide deep insights into mechanics and dynamics, while also offering a unique entry point for knowledge sharing in research and beyond.

Our aim is to leverage these fundamental insights directly into real-world applications. Similar to how autonomy can emerge in natural systems, we demonstrate the opportunity for finding embodied alternatives to centralised processes (such as AI) that originate from dynamic interaction and environmental feedback. Applications that we are working on in collaboration with various partners include the development of a soft robotic heart that can autonomously adapt to physiological changes, soft grippers that can sense and handle delicate fruits and vegetables, and sustainable architectural facades that adapt to environmental conditions without external power or control.

Job Requirements

• A master’s degree (or an equivalent university degree) in, e.g., Mechanical Engineering, Physics, Robotics, Industrial Design.
• A research-oriented attitude.
• Ability to work in an interdisciplinary team and interested in public outreach activities.
• Motivated to develop your teaching skills and coach students.
• Hands-on experimental mindset (with rapid prototyping techniques), and affinity with data analysis and numerical simulations.
• Analytical and problem-solving skills
• Initiative and creativity in developing new research direction
• Ability to collaborate in an interdisciplinary and inclusive environment
• 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. € 3,059 - 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 Department of Mechanical Engineering department conducts world-class research aligned with the technological interests of the high-tech industry in the Netherlands, with a focus on the Brainport region. Our goal is to produce engineers who are both scientifically educated and application-driven by providing a balanced education and research program that combines fundamental and application aspects. We equip our graduates with practical and theoretical expertise, preparing them optimally for future challenges.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager prof.dr.ir. Bas Overvelde, j.t.b.overvelde@tue.nl.

Visit our website for more information about the application process. You can also contact HRServices.me@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.