Afdelingshoofd Data Analyse & Financiële Systemen

Functieomschrijving

Voor TU Delft Directie Finance, zoeken wij een interim Afdelingshoofd Data Analyse & Financiële Systemen. In deze rol ben je verantwoordelijk voor het aansturen en verder professionaliseren van een team dat zich bevindt op het snijvlak van finance, IT en data. Je fungeert daarnaast als spil in het web tussen ICT en de Directie Finance.

Je combineert inhoudelijke scherpte met leiderschap en weet processen, systemen en data zodanig te organiseren dat ze de organisatie optimaal ondersteunen. Tegelijkertijd speel je een cruciale rol in de implementatie van een nieuw financieel systeem (Oracle), waarbij je verantwoordelijkheid draagt voor integraties, datamigratie en het neerzetten van de beheerorganisatie na livegang.

Dit is een rol voor iemand die energie krijgt van complexiteit, verandering en het verbeteren van processen én mensen.

Wat ga je doen:

Leiderschap & organisatie

• Aansturen van een team van circa 12 professionals (functioneel beheer, data & rapportages)
• Coachen en ontwikkelen van medewerkers, met focus op eigenaarschap en kwaliteit
• Prioriteren over meerdere werkstromen en belangen heen
• Versterken van samenwerking tussen finance, IT en business

Functioneel beheer en optimalisering

• Eindverantwoordelijk voor het functioneel beheer van financiële systemen
• Optimaliseren en automatiseren van processen
• Verhogen van datakwaliteit en rapportages
• Vertalen van businessbehoeften naar concrete oplossingen

Data en rapportages

• Doorontwikkeling van rapportages.
• Borgen van consistente en betrouwbare data in de keten
• Koppelen van operationele processen aan inzicht en besluitvorming

ERP-Implementatie (Oracle):

Verantwoordelijk voor:

• Integraties met andere systemen
• Datamigratie en datakwaliteit
• Inrichting van de beheerorganisatie na go-live
• Sparringpartner voor projectorganisatie en stakeholders
• Zorgen voor een duurzame overgang van project naar operatie

Functie-eisen
Je bent iemand die snel de kern ziet, structuur aanbrengt en mensen meeneemt in verandering.

• Ervaring in een complexe omgeving waar finance, IT en processen samenkomen
• Sterk analytisch vermogen met oog voor detail én het grotere geheel
• Ervaring met:
  
  • Financial systems / ERP
  • Procesoptimalisatie en automatisering
  • Data, rapportages en beheersing
  • Ervaring met leidinggeven aan professionals
  • Ervaring in verandertrajecten of implementaties (zoals ERP) is een must

Je voelt je thuis in een omgeving waar:

• Deadlines en kwaliteit hand in hand gaan
• Structuur en verbeteringen continu nodig zijn
• Je schakelt tussen strategie, inhoud en operatie

Deze rol is bijzonder interessant voor professionals die gewend zijn om organisaties scherp te analyseren, processen te verbeteren en tegelijkertijd stakeholders mee te nemen. Big Four ervaring is een pré.

TU Delft
Werken bij TU Delft betekent bijdragen aan oplossingen die er echt toe doen.

Al meer dan 180 jaar leiden we ingenieurs op die wereldwijd impact maken bij bedrijven, overheden of als ondernemer. Onze alumni zetten kennis om in concrete oplossingen voor de uitdagingen van vandaag en morgen. Die uitdagingen veranderen snel. Daarom werken we elke dag aan thema’s zoals energie, klimaat, digitalisering, AI en slimme mobiliteit. Ons onderwijs en onderzoek sluiten direct aan op wat de samenleving nodig heeft, nu en straks.

Bij TU Delft maken mensen het verschil. Met hun kennis en nieuwsgierigheid zorgen zij voor sterk onderwijs, vernieuwend onderzoek en innovaties die verder komen dan de campus. Je krijgt de ruimte om initiatief te nemen, samen te werken en jezelf te ontwikkelen. Wie bij TU Delft werkt, sluit zich aan bij een internationale community van professionals en studenten. Samen bouwen we aan kennis, innovatie en oplossingen die de wereld vooruithelpen.

Universiteitsdienst – Finance
De ambitie van de TU Delft vraagt om investeringen in onderzoek, techniek, en onderwijs, en dat zegt direct alles over het belang van Finance. Wij adviseren het College van Bestuur, de faculteiten en diensten over financiële vraagstukken op het gebied van business control, procurement, treasury management, fiscaliteiten en verzekeringen. Daarnaast zijn wij verantwoordelijk voor de planning- en controlcyclus en de gehele financiële administratie. Dit alles is onmisbaar voor de TU Delft om hun ambities waar te maken. Je bent van harte uitgenodigd om hiervan deel uit te maken.

PhD Position on Quantum Error Correction for Photonics

Job description

As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance (QuBriC), we are seeking a PhD researcher who will work on quantum error correction for photonic, optical and microwave, quantum computing architectures within the group of Prof. Terhal at Delft University of Technology and QuTech.

The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware-specific errors. Some of the work will involve extending tools and concepts of circuit-based quantum error correction to fusion-based computation, using ZX calculus. The aim is to design, numerically simulate and decode (small) quantum error correction protocols which are near-term or immediately feasible on photonic hardware.

The training network enables and financially supports several few-months secondments of the PhD student at other involved parties in the network such as the company QuiX (Enschede) and UCL (London). Other trainings and collaborations in the area of quantum error correction are available via consortium events and workshops.

The PhD candidate will be embedded in the Terhal group, located at the Department of Applied Math, Faculty of EEMCS, Delft University of Technology. The PhD candidate is encouraged to discuss and collaborate with (experimental) researchers at QuTech, as well as the Delft office of the UK company Riverlane.

Requirements

• Master degree in physics or quantum technology.
• Theoretical background in optics and quantum technologies. Preferred: knowledge and MSc research experience in quantum error correction
• Excellent written and oral communication skills in English.
• Demonstrated self-drive, scientific curiosity, and team worker attitude.

TU Delft is an equal opportunity employer committed to diversity, inclusion, and gender balance. We evaluate all applicants on merit, regardless of gender, ethnic origin, religion, age, sexual orientation, or disability. We welcome applications from candidates of all backgrounds and underrepresented groups.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

QuTech

QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

Have a look at our video and get a glimpse of QuTech.

PhD Position on Quantum Error Correction for Photonics

Job description

As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance (QuBriC), we are seeking a PhD researcher who will work on quantum error correction for photonic, optical and microwave, quantum computing architectures within the group of Prof. Terhal at Delft University of Technology and QuTech.

The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware-specific errors. Some of the work will involve extending tools and concepts of circuit-based quantum error correction to fusion-based computation, using ZX calculus. The aim is to design, numerically simulate and decode (small) quantum error correction protocols which are near-term or immediately feasible on photonic hardware.

The training network enables and financially supports several few-months secondments of the PhD student at other involved parties in the network such as the company QuiX (Enschede) and UCL (London). Other trainings and collaborations in the area of quantum error correction are available via consortium events and workshops.

The PhD candidate will be embedded in the Terhal group, located at the Department of Applied Math, Faculty of EEMCS, Delft University of Technology. The PhD candidate is encouraged to discuss and collaborate with (experimental) researchers at QuTech, as well as the Delft office of the UK company Riverlane.

Requirements

• Master degree in physics or quantum technology.
• Theoretical background in optics and quantum technologies. Preferred: knowledge and MSc research experience in quantum error correction
• Excellent written and oral communication skills in English.
• Demonstrated self-drive, scientific curiosity, and team worker attitude.

TU Delft is an equal opportunity employer committed to diversity, inclusion, and gender balance. We evaluate all applicants on merit, regardless of gender, ethnic origin, religion, age, sexual orientation, or disability. We welcome applications from candidates of all backgrounds and underrepresented groups.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

QuTech

QuTech is a mission-driven research institute of TU Delft. Together we are working on a radical new technology with world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet.

We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture, climate, and security. To achieve our ambitious goals, we bring scientists, engineers, and industry together in an inspiring environment, with plenty of room for ambition, entrepreneurship, and innovation.

Have a look at our video and get a glimpse of QuTech.

Afdelingshoofd Data Analyse & Financiële Systemen

Functieomschrijving

Voor TU Delft Directie Finance, zoeken wij een interim Afdelingshoofd Data Analyse & Financiële Systemen. In deze rol ben je verantwoordelijk voor het aansturen en verder professionaliseren van een team dat zich bevindt op het snijvlak van finance, IT en data. Je fungeert daarnaast als spil in het web tussen ICT en de Directie Finance.

Je combineert inhoudelijke scherpte met leiderschap en weet processen, systemen en data zodanig te organiseren dat ze de organisatie optimaal ondersteunen. Tegelijkertijd speel je een cruciale rol in de implementatie van een nieuw financieel systeem (Oracle), waarbij je verantwoordelijkheid draagt voor integraties, datamigratie en het neerzetten van de beheerorganisatie na livegang.

Dit is een rol voor iemand die energie krijgt van complexiteit, verandering en het verbeteren van processen én mensen.

Wat ga je doen:

Leiderschap & organisatie

• Aansturen van een team van circa 12 professionals (functioneel beheer, data & rapportages)
• Coachen en ontwikkelen van medewerkers, met focus op eigenaarschap en kwaliteit
• Prioriteren over meerdere werkstromen en belangen heen
• Versterken van samenwerking tussen finance, IT en business

Functioneel beheer en optimalisering

• Eindverantwoordelijk voor het functioneel beheer van financiële systemen
• Optimaliseren en automatiseren van processen
• Verhogen van datakwaliteit en rapportages
• Vertalen van businessbehoeften naar concrete oplossingen

Data en rapportages

• Doorontwikkeling van rapportages.
• Borgen van consistente en betrouwbare data in de keten
• Koppelen van operationele processen aan inzicht en besluitvorming

ERP-Implementatie (Oracle):

Verantwoordelijk voor:

• Integraties met andere systemen
• Datamigratie en datakwaliteit
• Inrichting van de beheerorganisatie na go-live
• Sparringpartner voor projectorganisatie en stakeholders
• Zorgen voor een duurzame overgang van project naar operatie

Functie-eisen
Je bent iemand die snel de kern ziet, structuur aanbrengt en mensen meeneemt in verandering.

• Ervaring in een complexe omgeving waar finance, IT en processen samenkomen
• Sterk analytisch vermogen met oog voor detail én het grotere geheel
• Ervaring met:
  
  • Financial systems / ERP
  • Procesoptimalisatie en automatisering
  • Data, rapportages en beheersing
  • Ervaring met leidinggeven aan professionals
  • Ervaring in verandertrajecten of implementaties (zoals ERP) is een must

Je voelt je thuis in een omgeving waar:

• Deadlines en kwaliteit hand in hand gaan
• Structuur en verbeteringen continu nodig zijn
• Je schakelt tussen strategie, inhoud en operatie

Deze rol is bijzonder interessant voor professionals die gewend zijn om organisaties scherp te analyseren, processen te verbeteren en tegelijkertijd stakeholders mee te nemen. Big Four ervaring is een pré.

TU Delft
Werken bij TU Delft betekent bijdragen aan oplossingen die er echt toe doen.

Al meer dan 180 jaar leiden we ingenieurs op die wereldwijd impact maken bij bedrijven, overheden of als ondernemer. Onze alumni zetten kennis om in concrete oplossingen voor de uitdagingen van vandaag en morgen. Die uitdagingen veranderen snel. Daarom werken we elke dag aan thema’s zoals energie, klimaat, digitalisering, AI en slimme mobiliteit. Ons onderwijs en onderzoek sluiten direct aan op wat de samenleving nodig heeft, nu en straks.

Bij TU Delft maken mensen het verschil. Met hun kennis en nieuwsgierigheid zorgen zij voor sterk onderwijs, vernieuwend onderzoek en innovaties die verder komen dan de campus. Je krijgt de ruimte om initiatief te nemen, samen te werken en jezelf te ontwikkelen. Wie bij TU Delft werkt, sluit zich aan bij een internationale community van professionals en studenten. Samen bouwen we aan kennis, innovatie en oplossingen die de wereld vooruithelpen.

Universiteitsdienst – Finance
De ambitie van de TU Delft vraagt om investeringen in onderzoek, techniek, en onderwijs, en dat zegt direct alles over het belang van Finance. Wij adviseren het College van Bestuur, de faculteiten en diensten over financiële vraagstukken op het gebied van business control, procurement, treasury management, fiscaliteiten en verzekeringen. Daarnaast zijn wij verantwoordelijk voor de planning- en controlcyclus en de gehele financiële administratie. Dit alles is onmisbaar voor de TU Delft om hun ambities waar te maken. Je bent van harte uitgenodigd om hiervan deel uit te maken.

Assistant/Associate Professor in Computer Vision and Deep Learning

Job description

You will shape the future of computer vision and AI by developing an internationally recognized research line, inspiring the next generation of engineers, and creating meaningful impact through science, education, and internal and external collaborations. At TU Delft, you will join a highly collaborative environment where your ideas can grow into lasting scientific and societal contributions.

The Department of Intelligent Systems at TU Delft is looking for an Assistant or Associate Professor who is excited to advance the field of Computer Vision and Deep Learning through excellent research, inspiring education, and meaningful collaboration.

The Computer Vision Lab conducts internationally recognized research on the automatic analysis and interpretation of visual data, including images, video, and 3D/4D sensor data. As part of the Pattern Recognition & Bioinformatics section, you will join a collaborative and interdisciplinary research environment with expertise in computer vision, pattern recognition, machine learning, bioinformatics, deep learning, generative AI, neuromorphic computing, spiking neural networks, and data-driven modelling.

You will develop an independent research program with international impact and visibility at the intersection of computer vision, deep learning, and modern AI. Your research may focus on topics such as:

• deep learning for visual perception;
• representation learning and foundation models for vision;
• generative models and multimodal AI;
• self-supervised, weakly supervised, and data-efficient visual learning;
• 3D, 4D, spatial, embodied, or dynamic vision;
• neuromorphic computing, event cameras, spiking neural networks;
• robust, interpretable, trustworthy, or responsible computer vision;
• vision for science, engineering, health, climate, mobility, robotics, or other high-impact application domains.

We are particularly interested in candidates who combine scientific excellence with a strong motivation to engage beyond academia. You will publish high-quality research in internationally recognized venues, secure external funding, and build collaborations with academic, industrial, and public-sector partners to create lasting scientific and societal impact. We look for a candidate who will contribute to and benefit from TU Delft’s collaborative culture and the Dutch academic landscape. We value researchers who enjoy working together through shared research, joint supervision, collaborative grant proposals, and active engagement in a supportive departmental community.

You will position your research within computer vision while connecting it to broader developments in deep learning and artificial intelligence. You will contribute to education in deep learning, machine learning, AI, and specialized computer vision courses, as well as support curriculum development, academic leadership, and mentoring within the department. You will supervise PhD candidates, postdoctoral researchers, MSc and BSc students, supporting them in their development as independent researchers and professionals.

You will become part of an open, international, and interdisciplinary research environment with excellent facilities and close collaborations across faculties and external partners. TU Delft offers mentoring, leadership development, and clear opportunities to grow towards senior academic roles, including Full Professor. We value collaboration, inclusion, and academic citizenship, and encourage applications from candidates who enjoy working across disciplines, supporting colleagues and students, and contributing to an open, diverse, and inclusive academic community.

Job requirements

• You hold a PhD in Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related discipline.
• You are able and motivated to build meaningful collaborations with academic, industrial, and societal partners. We value a collaborative mindset and a proactive approach to developing external connections that drive scientific excellence and technological and societal impact.
• You communicate effectively in an international academic environment and support shared research themes, joint supervision, collective grant initiatives, and a strong departmental community.
• You have a research record appropriate to your career stage and a clear vision for future research in computer vision and deep learning.
• You demonstrate the ability to teach deep learning, artificial intelligence, machine learning, and computer vision at university level.
• You have experience with, or strong potential for, acquiring competitive external research funding.
• You have experience in supervising, or the clear potential to supervise, PhD candidates and students in an inclusive and supportive manner.
• For Associate Professor appointment, you demonstrate an established independent research profile, successful funding acquisition, academic leadership, and supervision experience.

TU Delft is committed to diversity, inclusion, and a socially safe working environment and particularly encourages applications from women. Preference may be given to female candidates in cases of substantially equal suitability; all candidates will be assessed on their qualifications, scientific quality, teaching and leadership potential, collaborative attitude, and fit with the position.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.