Assistant Professor In Ultra-Low Latency Hybrid Neuromorphic Photonics

Are you passionate about shaping the future of computing? Join us to push the frontiers of neuromorphic photonics, enabling ultra-fast and low-energy information processing on photonic chips, translating neuroscience principles into hardware, and tackling challenges in scalable architectures, electronic-photonic co-design, and multi-material integration.

Introduction
Neuromorphic photonics is emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes implemented on photonic chips. However, integration challenges and material limitations remain. Non-volatile photonic elements, biological inspired principles and hybrid active–passive platforms are gaining traction, and momentum is building toward scalable architectures, electronic–photonic co-design and multi-material co-integration.

The Electro-Optical Communication Systems (ECO) group
This position is embedded in the ECO group in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). Our group has been a leader in optical communications research for over four decades. With a strong international reputation and collaborations spanning academia and industry worldwide, ECO offers an exceptional environment for pioneering scientists to shape the future of communication technologies. Our core strength lies in bridging diverse technologies and addressing the most pressing challenges in communication networks. We bring together expertise across the entire chain: from photonic integrated circuit (PIC) design and fabrication to advanced optical and wireless network architectures. This unique interdisciplinary scope positions us at the forefront of next-generation communication research, including high-capacity telecom and datacom and more flexible and dynamic LiFi, free-space optics, and hybrid RF-optical systems. In particular the Photonic Neural Networks Lab (PNN Lab) focuses on advancing photonic technologies for next-generation artificial intelligence and computing. The lab explores how light can be harnessed to perform neural-network operations, aiming to develop faster, more energy-efficient and highly scalable computing architectures. By combining integrated photonics, semiconductor technology and artificial intelligence, the lab contributes to the development of innovative solutions for future computing systems.

Our researchers have direct access to a state-of-the-art cleanroom and more than 300 m² of advanced laboratories. With 12 tenured faculty staff members and over 70 PhDs and postdocs, ECO offers a vibrant and collaborative environment in which ambitious scientists can excel. You can explore our research activities in this short video.

Job Description
Despite significant progress, several key challenges remain open in the development of next-generation intelligent photonic systems. Addressing these challenges defines a set of promising research directions that goes from the development of mature hybrid-integrated active–passive photonic platforms to the systematic exploitation of physical parallelism, from the realization of stronger all-optical nonlinearities and scalable synaptic devices to the design of efficient photonic memory architectures to support neuromorphic training functions, towards Photonics Physical AI to establish the sensing, computation, communication and decision continuum. Further, high-efficiency neuromorphic photonics will require the convergence of neuromorphic computing and deep learning on photonic hardware, the development of optically informed algorithms that explicitly account for noise and limited precision inherent to photonic systems, and stronger coupling to real-world application layers through system-level demonstrators.

Therefore, within this position you will take a holistic approach that considers not only individual components (e.g., emerging materials and devices) but also their interaction at the system level, encompassing architecture, electronic integration, algorithms, and end-use applications.

As Assistant Professor within the Photonic Neural Network LAB, you will:

• Develop an independent research program in hybrid neuromorphic photonics, spanning the full protocol stack, from physical-layer innovation and hybrid integration (optics, photonics, electronics, novel materials) to higher-layer network optimization, inference, and training in real time.
• Investigate novel architectures such as hybrid network topologies, neural network mapping in the optical domain, spiking (and non) encoding and strategies to address photonic engine noise, limited resolution, and system-level robustness and contribute to brain-inspired optical computing and photonic physical AI, contributing to the PNN Lab vision.
• Translate research into applications in emerging domains including digital twins, autonomous vehicles, augmented reality, edge computing, extreme data processing, computational science, real-time predictions.
• Initiate and lead collaborations with ECO members and within TU/e and with national and international academic and industrial partners, driving multidisciplinary projects and sector plan initiatives.
• Secure funding and disseminate results by writing competitive research proposals, acquiring public and private funding, and publishing internationally leading work in high-impact journals.
• Contribute to education and mentorship by developing and teaching courses in the Electrical Engineering Bachelor’s and Master’s programs, obtaining a University Teaching Qualification, and supervising BSc, MSc, EngD, and PhD students and PDs.

Your research will play a central role in the photonic systems activities at the TU/e Casimir Institute, contributing to sustainable, high-performance communications and computing infrastructures. This inherently interdisciplinary work offers opportunities for collaboration, bridging fundamental advances with practical application demonstrators.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).

Job Requirements

• Motivated researcher with a PhD in Electrical Engineering, Photonic Engineering, Applied Physics research or a comparable domain.
• At least two years of relevant research experience after the PhD as a postdoctoral researcher or equivalent.
• Ability to conduct high-quality academic research in the field of photonic integrated neural networks reflected in demonstratable outputs.
• Good understanding of neuromorphic photonics, integrated physical AI, neural network algorithms and applications.
• Excellent publication track record in integrated photonics and neuromorphic photonics complemented by a good understanding of how photonic technologies interface with the digital world.
• Enthusiastic and motivated to teach, contribute to teaching processes, and to develop excellent teaching skills. Ability to teach and inspire students, with proven teaching experience or strong potential.
• Proven ability to collaborate in multidisciplinary and international research environments.
• Interest in transferring academic knowledge to industry and societal applications.
• 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, ranging from €4925 to €6682 gross base salary per month (full-time).
• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• A 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.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• 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 Expat Scheme) 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. Discover what Light Up means to TU/e in our short company video.

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 Patty Stabile, Associate Professor at TU/e, r.stabile[at]tue.nl or +31 40 247 5387.

Visit our website for more information about the application process. You can also contact Thomas Slegers, Senior Recruiter, via t.slegers[at]tue.nl or +316 14835214.

Curious to hear more about what it's 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). Please make sure you get aware of research activities within PNNLab, CNS, EE and Casimir Institute to figure out how to match the existing ecosystem and where the gaps.
• Statement of your teaching goals and experience (1-2 pages). Please make sure you get aware of the education activities of PNNLab, CNS and EE to figure out where the gaps and how to contribute to educate the next generation of engineers.

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

Recruitment process:
We look forward to receiving your application at the latest on Friday, the 8th of January, 24:00h CET, 2027. The recruitment process will include the following sequential selection rounds:

• Online interviews with the selection committee.
• Candidates’ day on our campus, including interviews and introduction program to get to know the group, the department and our university.
• A formal interview with a Recruitment Advisory Committee.

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 Ultra-Low Latency Hybrid Neuromorphic Photonics

Despite significant progress, several key challenges remain open in the development of next-generation intelligent photonic systems. Addressing these challenges defines a set of promising research directions that goes from the development of mature hybrid-integrated active–passive photonic platforms to the systematic exploitation of physical parallelism, from the realization of stronger all-optical nonlinearities and scalable synaptic devices to the design of efficient photonic memory architectures to support neuromorphic training functions, towards Photonics Physical AI to establish the sensing, computation, communication and decision continuum. Further, high-efficiency neuromorphic photonics will require the convergence of neuromorphic computing and deep learning on photonic hardware, the development of optically informed algorithms that explicitly account for noise and limited precision inherent to photonic systems, and stronger coupling to real-world application layers through system-level demonstrators.

Therefore, within this position you will take a holistic approach that considers not only individual components (e.g., emerging materials and devices) but also their interaction at the system level, encompassing architecture, electronic integration, algorithms, and end-use applications.

As Assistant Professor within the Photonic Neural Network LAB, you will:

• Develop an independent research program in hybrid neuromorphic photonics, spanning the full protocol stack, from physical-layer innovation and hybrid integration (optics, photonics, electronics, novel materials) to higher-layer network optimization, inference, and training in real time.
• Investigate novel architectures such as hybrid network topologies, neural network mapping in the optical domain, spiking (and non) encoding and strategies to address photonic engine noise, limited resolution, and system-level robustness and contribute to brain-inspired optical computing and photonic physical AI, contributing to the PNN Lab vision.
• Translate research into applications in emerging domains including digital twins, autonomous vehicles, augmented reality, edge computing, extreme data processing, computational science, real-time predictions.
• Initiate and lead collaborations with ECO members and within TU/e and with national and international academic and industrial partners, driving multidisciplinary projects and sector plan initiatives.
• Secure funding and disseminate results by writing competitive research proposals, acquiring public and private funding, and publishing internationally leading work in high-impact journals.
• Contribute to education and mentorship by developing and teaching courses in the Electrical Engineering Bachelor’s and Master’s programs, obtaining a University Teaching Qualification, and supervising BSc, MSc, EngD, and PhD students and PDs.

Your research will play a central role in the photonic systems activities at the TU/e Casimir Institute, contributing to sustainable, high-performance communications and computing infrastructures. This inherently interdisciplinary work offers opportunities for collaboration, bridging fundamental advances with practical application demonstrators.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).

Sr. Beveiligingsmedewerker / Centralist (1,0 fte)

De afdeling Safety & Security is ondergebracht bij Campus & facility (C&F). De afdeling bestaat uit diverse deskundigen op het gebied van beveiliging, brandweer, parking en access control en bedrijfshulpverlening en draagt bij aan de meerjarendoelstellingen van het programma integrale veiligheid. Denk hierbij aan thema’s als fysieke- en gebouwveiligheid, BHV en crisismanagement.

Wat ga je doen:
Als Sr. Beveiligingsmedewerker/Centralist vervul je onder meer de volgende taken:

• Het uitvoeren van alle voorkomende beveiligingswerkzaamheden en surveillancerondes en het openen- en sluiten van gebouwen;
• Het afhandelen van inbraak-, brand-, en technische alarmmeldingen;
• Het actie ondernemen bij ongewenste en risicovolle situaties en ongewenst gedrag;
• Het optreden bij incidenten en calamiteiten, evenals het optreden als bedrijfshulpverlener;
• Het rapporteren over het verloop van de werkzaamheden waaronder het opmaken van rapporten en het bespreken en overdragen hiervan aan collega’s;
• Het toezicht houden op en handhaven van de geldende TU/e veiligheidsregels;
• Het bemensen van het Security Control Center, het aannemen van meldingen en bijbehorende acties uitzetten, het bedienen van intercoms en bijbehorende administratie;
• Het inschakelen en informeren van TU/e bedrijfshulpverleners en externe hulpdiensten, zodat de opvolging van meldingen en incidenten binnen gestelde kaders behandeld en/of opgelost worden;
• Het uitvoeren van cameratoezicht op personen en gebouwen teneinde ongewone en onveilige situaties te signaleren.

Sr. Beveiligingsmedewerker / Centralist (1,0 fte)

Introductie
De Technische Universiteit Eindhoven (TU/e), afdeling Safety & Security, zoekt ter versterking van haar beveiligingsorganisatie een Beveiligingsmedewerker (1,0 fte). Ben jij degene die deel wil uitmaken van een hecht team dat 24/7 samenwerkt aan de veiligheid van de TU/e en ben je toe aan een nieuwe uitdaging met veel afwisseling en dynamiek dan is deze functie misschien iets voor jou.

Functieomschrijving
De afdeling Safety & Security is ondergebracht bij Campus & facility (C&F). De afdeling bestaat uit diverse deskundigen op het gebied van beveiliging, brandweer, parking en access control en bedrijfshulpverlening en draagt bij aan de meerjarendoelstellingen van het programma integrale veiligheid. Denk hierbij aan thema’s als fysieke- en gebouwveiligheid, BHV en crisismanagement.

Wat ga je doen:
Als Sr. Beveiligingsmedewerker/Centralist vervul je onder meer de volgende taken:

• Het uitvoeren van alle voorkomende beveiligingswerkzaamheden en surveillancerondes en het openen- en sluiten van gebouwen;
• Het afhandelen van inbraak-, brand-, en technische alarmmeldingen;
• Het actie ondernemen bij ongewenste en risicovolle situaties en ongewenst gedrag;
• Het optreden bij incidenten en calamiteiten, evenals het optreden als bedrijfshulpverlener;
• Het rapporteren over het verloop van de werkzaamheden waaronder het opmaken van rapporten en het bespreken en overdragen hiervan aan collega’s;
• Het toezicht houden op en handhaven van de geldende TU/e veiligheidsregels;
• Het bemensen van het Security Control Center, het aannemen van meldingen en bijbehorende acties uitzetten, het bedienen van intercoms en bijbehorende administratie;
• Het inschakelen en informeren van TU/e bedrijfshulpverleners en externe hulpdiensten, zodat de opvolging van meldingen en incidenten binnen gestelde kaders behandeld en/of opgelost worden;
• Het uitvoeren van cameratoezicht op personen en gebouwen teneinde ongewone en onveilige situaties te signaleren.

Functie-eisen

• Je beschikt over werk- en denkvermogen op MBO-niveau 3-4 aangevuld met eventueel vakgerichte opleidingen;
  
  • Diploma Beveiliger niveau 2 (eis), gewenst Coördinator Beveiliger niveau 3;
  • Geldig BHV-certificaat en AED-certificaat of de bereidheid deze binnen zes maanden na aanvang te behalen;
• Je bent stressbestendig en kunt onder spanning en druk effectief presteren;
• Je bent van onbesproken gedrag, desgevraagd middels een VOG aantoonbaar;
• Je beschikt over uitstekende mondelinge en schriftelijke communicatievaardigheden in de Nederlandse taal en goede beheersing van de Engelse taal;
• Je bent klant- en resultaatgericht.
• Je bent in staat om zelfstandig situaties in te schatten en de juiste vervolgacties te bepalen;
• Je bent een enthousiaste teamspeler en kunt zowel in een team als zelfstandig uitstekend (samen) werken;
• Je bent flexibel, geduldig en representatief;
• Je bent accuraat en behoudt het overzicht over het totaal van activiteiten;
• Je hebt affiniteit met computers en bent in staat om op meldkamerniveau meerdere (software)systemen naast elkaar te gebruiken;
• Bereidheid tot het werken in wisseldiensten (3 ploegen volcontinu dienst);
• Je bent in het bezit van een geldig rijbewijs B en eigen vervoer.

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 bruto maandsalaris van minimaal € 3.173,- tot maximaal € 3.785,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 6 cao Nederlandse Universiteiten).
• Dit is exclusief een vaste toeslag van 27% pro rato voor het werken in onregelmatige diensten (3 ploegen volcontinu dienst conform het huidige rooster).
• Naast je basissalaris ontvang je een vakantietoeslag van 8% en een eindejaarsuitkering van 8,3%, beide berekend over je jaarlijkse bruto basissalaris. Dit is exclusief een vaste toeslag van 27% pro rato voor het werken in onregelmatige diensten (3 ploegen volcontinu dienst conform het huidige rooster).
• Ruime verlofmogelijkheden: standaard 29 vakantiedagen per jaar (op basis van een werkweek van 38 uur). Dit aantal kun je verhogen naar 41 dagen door wekelijks twee uur extra te werken (flexibele werktijden). Werk je parttime, dan wordt het aantal verlofdagen naar rato berekend.
• Als medewerker van de TU/e neem je deel aan de pensioenregeling van ABP. Deze regeling voorziet in een ouderdoms-, een nabestaanden- en een arbeidsongeschiktheidspensioen. De TU/e betaalt 70% van de pensioenpremie; medewerkers dragen de overige 30% bij.
• Een gunstige regeling voor extra verlofdagen of een sabbatical.
• Een keuzemodel voor extra secundaire arbeidsvoorwaarden.
• Werktijden in overleg voor een optimale werk-privé balans.
• Toegang tot het moderne sportcentrum op de TU/e‑campus tegen een uitzonderlijk voordelig tarief.
• We ondersteunen je welzijn met gratis 24/7 toegang tot OpenUp, waarmee jij en je gezin toegang hebben tot mentale ondersteuning, deskundig advies en online trainingen.
• 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.

Op onze website 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. Ontdek wat Light Up voor de TU/e betekent in onze korte video.

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.

Campus & Facilities (C&F) is verantwoordelijk voor de volledige levenscyclus van het vastgoed van de TU/e en levert essentiële facilitaire diensten op de 75 hectare grote TU/e-campus. Dit omvat vastgoedontwikkeling, projectmanagement, het beheer en onderhoud van alle gebouwen, installaties en infrastructuur én een breed scala aan facilitaire diensten die bijdragen aan een soepel, veilig en gastvrij verblijf voor studenten, medewerkers, bezoekers en partners.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de vacaturehouder: Rick van Deventer, Teamleider TU/e Security, via telefoonnummer: 06-39271545, of via e-mail r.f.m.v.deventer@tue.nl.

Bezoek onze website voor meer informatie over het sollicitatieproces. Je kunt hierover ook contact opnemen met de afdeling HR Services, email 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 en omschrijving van je kwalificaties. Zorg ervoor dat je alle gevraagde documenten toevoegt. Wij geven voorrang aan complete sollicitaties.

Gesprekken zullen in week 49 en 50 gepland worden. 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.

PhD in Efficient Online Optimization

Introduction
How do you optimize a system you can’t fully model, where the operational objectives vary over time, and where safety is a major concern? Drones flying in cluttered changing environment, buildings that manage their own climate, and supply chains under changing market conditions and global events all face this problem. We are looking for a curious, mathematically minded PhD candidate to help build the theory that lets such systems learn on the fly, safely and efficiently and without a central coordinator. If you like elegant algorithms, mathematical challenges and seeing your theory tested on real drones and a real building, we’d like to hear from you.

Job Description
Bayesian optimization is a data-efficient way to optimize controllers and systems without explicit models, because it learns surrogate models and comes with built-in uncertainty estimates. Its theory still has major gaps when the system is large-scale, distributed and safety-critical, and when the reward and safety constraints change over time. In this project you will develop a new framework that combines safe Bayesian optimization, online learning and distributed estimation, with a strong focus on provable guarantees. This is primarily theoretical research. Your main contributions will be new algorithms and convergence and safety guarantees. Experimental validation will be done together with our partners in the drone lab of the Control Systems group at TU Eindhoven and at the NEST building in Dübendorf, Switzerland.

You will be embedded in the Control Systems group at TU/e, contributing to its research program on intelligent and responsible control of networked systems.

As a PhD candidate, you will:

• Develop safe Bayesian optimization algorithms for time-varying settings, including adaptive sampling strategies that track moving optima while keeping constraints satisfied at every step.
• Design distributed learning and optimization schemes in which multiple agents, each with only partial information, cooperate without central coordination.
• Study how surrogate models and the optimization process can be broken down in time and space to stay tractable in high dimensions and over long horizons.
• Derive rigorous convergence, regret and safety guarantees for constrained large-scale optimization in non-stationary, safety-critical environments.
• Use tools from online learning, Gaussian processes, distributed estimation and control theory, and connect them in new ways.
• Turn your theory into algorithms that can be validated on UAV reference tracking and obstacle avoidance, and on temperature control in a real residential building in Dübendorf, Switzerland.
• Publish in leading venues in control, optimization and machine learning (e.g., CDC, TAC, NeurIPS, ICML), present your work internationally and work with our academic partners.

This PhD position is in collaboration with Dr. Marta Zagorowska from TU Delft and other collaboration partners in Switzerland.

Job Requirements

• A master’s degree (or an equivalent university degree) in Control Engineering, Electrical Engineering, Mechanical Engineering, or Mathematics.
• In case you are still doing your MSc in the field listed above, please indicate your expected graduation date in the cover letter.
• A research-oriented attitude with curiosity
• Motivated to develop your teaching skills and coach students.
• Programming knowledge (Python, Julia)?
• Fluent in spoken and written English (C1 level).

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

In addition, we offer you:

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

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

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

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? Please contact the hiring manager Dr. Giulia de Pasquale (g.de.pasquale@tue.nl) or Prof. dr. ir. Roland Toth (r.toth@tue.nl).

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

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.