Software Engineer Decentralized and Confidential Learning on Structure Data

Job description

Federated learning (FL) is one of the emerging decentralized learning paradigm, which features on privacy protection by design. Under FL, machine learning models, e.g., LightGBM, and deep models, can be directly learned at the data premise, without centralized collecting data. In this research project, the main focus is on the tabular data and time series data due to its dominant presence in industries.

The research objective of this PhD project is to derive scalable decentralized machine learning algorithms for tabular data.

The key tasks of this project are: (i) designing privacy-preserving data exchanging strategies, (ii) deriving vertical and horizontal federated learning for tabular and time series data (iii) deriving generative models for tabular data, e.g., generative adversarial networks (iv) designing decentralized training framework for tabular and time series data synthesizer.

Job requirements
We are looking for candidates who satisfy the following requirements: an MSc degree with excellent results in Computer Science, preferably in distributed systems, theory, or related areas

• MSc degree in Computer Science
• 0-3 years of relevant experience.
• Experience in writing python and conducting scientific evaluations through experimentation
• Profound knowledge in deep machine learning algorithms and time series models
• Experience in designing and developing large scale distributed learning systems

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Software Engineer Decentralized and Confidential Learning on Structure Data

Job description

Federated learning (FL) is one of the emerging decentralized learning paradigm, which features on privacy protection by design. Under FL, machine learning models, e.g., LightGBM, and deep models, can be directly learned at the data premise, without centralized collecting data. In this research project, the main focus is on the tabular data and time series data due to its dominant presence in industries.

The research objective of this PhD project is to derive scalable decentralized machine learning algorithms for tabular data.

The key tasks of this project are: (i) designing privacy-preserving data exchanging strategies, (ii) deriving vertical and horizontal federated learning for tabular and time series data (iii) deriving generative models for tabular data, e.g., generative adversarial networks (iv) designing decentralized training framework for tabular and time series data synthesizer.

Job requirements
We are looking for candidates who satisfy the following requirements: an MSc degree with excellent results in Computer Science, preferably in distributed systems, theory, or related areas

• MSc degree in Computer Science
• 0-3 years of relevant experience.
• Experience in writing python and conducting scientific evaluations through experimentation
• Profound knowledge in deep machine learning algorithms and time series models
• Experience in designing and developing large scale distributed learning systems

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Postdoc Probing Germanium with Spin Qubit Arrays

Job description
The Scappucci Lab welcomes applications for a Postdoctoral Researcher to addresses a central challenge of quantum technology with spin qubits: how do the properties of the semiconductor stack affect qubit properties at scale?

Within the Scappucci Lab you will join the QARPET team. QARPET (Qubit-Array Research Platform for Engineering and Testing) is a crossbar-array architecture developed by our group and designed to move from the study of few quantum dots to the statistical characterization and benchmarking of hundreds of qubits in germanium. https://qutech.nl/2026/02/12/rolling-out-the-carpet-for-spin-qubits/

Within this project, you will play a leading role in the measurement, characterization, and analysis of germanium hole spin qubits. You will investigate the properties of such devices within novel material stacks and help uncover how material disorder, variability, and imperfections influence key qubit metrics such as coherence, stability, and reproducibility.

You will also have the opportunity to work in a collaborative, international, and interdisciplinary environment, where different perspectives and backgrounds are valued as drivers of scientific innovation.       

Requirements
We are seeking not only dedicated future scientists but also individuals who thrive in a team-oriented environment, where passion and commitment go hand in hand.

• PhD in Physics, Electrical Engineering or a closely related field.
• Demonstrated hands-on experience with the measurement and control of solid-state qubits.
• Expertise in cryogenic measurements (dilution refrigerators) and microwave control hardware.
• Strong programming capabilities and large-scale data analysis.

TU Delft
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Postdoc Probing Germanium with Spin Qubit Arrays

Job description
The Scappucci Lab welcomes applications for a Postdoctoral Researcher to addresses a central challenge of quantum technology with spin qubits: how do the properties of the semiconductor stack affect qubit properties at scale?

Within the Scappucci Lab you will join the QARPET team. QARPET (Qubit-Array Research Platform for Engineering and Testing) is a crossbar-array architecture developed by our group and designed to move from the study of few quantum dots to the statistical characterization and benchmarking of hundreds of qubits in germanium. https://qutech.nl/2026/02/12/rolling-out-the-carpet-for-spin-qubits/

Within this project, you will play a leading role in the measurement, characterization, and analysis of germanium hole spin qubits. You will investigate the properties of such devices within novel material stacks and help uncover how material disorder, variability, and imperfections influence key qubit metrics such as coherence, stability, and reproducibility.

You will also have the opportunity to work in a collaborative, international, and interdisciplinary environment, where different perspectives and backgrounds are valued as drivers of scientific innovation.       

Requirements
We are seeking not only dedicated future scientists but also individuals who thrive in a team-oriented environment, where passion and commitment go hand in hand.

• PhD in Physics, Electrical Engineering or a closely related field.
• Demonstrated hands-on experience with the measurement and control of solid-state qubits.
• Expertise in cryogenic measurements (dilution refrigerators) and microwave control hardware.
• Strong programming capabilities and large-scale data analysis.

TU Delft
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Arbeids- en organisatiedeskundige

Functieomschrijving

Een goed georganiseerde en sociaal veilige werkomgeving is een voorwaarde voor excellent onderwijs en baanbrekend onderzoek. Als arbeids- en organisatiedeskundige (A&O) binnen het HSE-team lever je een inhoudelijke en systemische bijdrage aan het verder professionaliseren van ons beleid en onze aanpak rondom psychosociale arbeidsbelasting (PSA) en bredere organisatievraagstukken.

Je komt te werken in de afdeling Health, Safety & Environment (HSE) binnen de directie HR. Ons team bestaat uit 15 gedreven professionals, die werkzaam zijn als HSE-adviseur (veiligheidskundigen), biologisch veiligheidsfunctionaris, verzuimregisseurs, projectleiders uitvoering participatiewet en projectleider op het gebied van vitaliteit. Daarnaast is de bedrijfszorg door een extern gecontracteerde arbodienst en bedrijfsmaatschappelijk werk in onze afdeling ondergebracht.

Je draagt bij aan het ontwikkelen, actualiseren en implementeren van beleid op het gebied van PSA en vertaalt wet- en regelgeving naar concrete en werkbare kaders voor faculteiten en diensten. Je bent inhoudelijk betrokken bij de RI&E (met nadruk op PSA), toetst plannen van aanpak op volledigheid, betrouwbaarheid en actualiteit en adviseert over passende interventies. Je werkt langs de volledige beleidscyclus (plan–do–check–act).

Een belangrijk onderdeel van je rol is het versterken van de ‘check–act’-fase. Je initieert en begeleidt periodieke evaluaties, analyseert trends en knelpunten en maakt onderliggende oorzaken zichtbaar. Daarmee help je de organisatie om niet alleen acties uit te voeren, maar ook daadwerkelijk te leren en te verbeteren.

Je bent een onafhankelijke en deskundige sparringpartner voor HR, leidinggevenden, medezeggenschap en andere stakeholders. Je adviseert bij organisatieveranderingen die impact hebben op werkdruk, sociale veiligheid en duurzame inzetbaarheid. Daarbij kan ook coaching en training van leidinggevenden en teams aan de orde zijn.

De functie heeft een omvang van 24 uur per week (3 dagen, bij voorkeur verdeeld over 3–4 dagen). Bij TU Delft vinden we een gezonde balans tussen werk en privé belangrijk. We bieden daarom flexibele werktijden en de mogelijkheid om minimaal 1 van de 3 dagen vanuit huis te werken.

Functie-eisen

• Je bent gecertificeerd arbeids- en organisatiedeskundige of gemotiveerd om deze certificering te behalen.
• Je hebt aantoonbare ervaring met organisatieadvies, beleidsontwikkeling en RI&E-processen.
• Je hebt kennis van en ervaring met psychosociale arbeidsbelasting (werkdruk en intern ongewenst gedrag).
• Ervaring met het verzorgen van coaching en training is een pré.
• Je bent analytisch sterk en vertaalt data en signalen naar concrete verbetermaatregelen.
• Je hebt een duidelijke visie op het vakgebied, met innovatieve ideeën en een gezonde dosis energie en executiekracht om dingen voor elkaar te krijgen.
• Je werkt zelfstandig, gestructureerd en beweegt soepel tussen strategisch en operationeel niveau.
• Je hebt ervaring met het adviseren van management in een complexe organisatie.
• Je beheerst het Nederlands en Engels goed, mondeling en schriftelijk.

Deze functie vraagt om een deskundige die inhoud combineert met organisatiesensitiviteit en veranderkracht.
Herken je jezelf in dit profiel, maar voldoe je niet volledig aan alle eisen? Ook dan nodigen we je uit om te reageren.

TU Delft
De Technische Universiteit Delft heeft een sterk fundament. Als bouwer van de wereldberoemde Nederlandse waterwerken en pionier in biotech is TU Delft een internationale topuniversiteit die wetenschap, engineering en design combineert. TU Delft staat voor onderwijs, onderzoek en innovatie van wereldklasse om uitdagingen op het gebied van energie, klimaat, mobiliteit, gezondheid en digitale maatschappij aan te gaan. Generaties Delftse ingenieurs hebben bewezen ondernemende probleemoplossers te zijn in bedrijfsleven en in sociale context.

Bij TU Delft omarmen we diversiteit als een van onze kernwaarden en zetten we ons actief in om een universiteit te zijn waar jij je thuis voelt en kunt floreren. We hechten veel waarde aan verschillende perspectieven en kwaliteiten, omdat wij geloven dat dit ons werk innovatiever, de TU Delft-gemeenschap levendiger en de wereld rechtvaardiger maakt. Samen bedenken en ontwikkelen we oplossingen die een positieve invloed hebben op wereldwijde schaal. Daarom nodigen we jou uit om te solliciteren. Je sollicitatie krijgt een eerlijke behandeling.

Challenge. Change. Impact!

Universiteitsdienst – Human Resources
Om haar strategische doelstellingen te realiseren zet de TU Delft in op het aantrekken en ontwikkelen van ambitieuze en getalenteerde medewerkers. Het personeelsbeleid is gericht op recruitment en de ontwikkeling van talent, leiderschap en de organisatie, en draagt bij aan de versterking van onderwijs, onderzoek en valorisatie. Een veilige, uitdagende en betekenisvolle werkomgeving staat voorop. Hieraan draagt de HR-organisatie bij met de medewerkers van HR Advies die werken bij de faculteiten en de Universiteitsdienst (de ondersteunende diensten) op locatie, en daarnaast met de centrale HR-diensten van de afdelingen HR Talent & Development, Health Safety Environment (HSE), Compensation & Benefits en HR Services.