Postdoctoral Researcher in AI Education Research

Job description

Delft University of Technology (TU Delft) is looking for a postdoctoral researcher within the TU Delft Teaching Academy Initiative on Innovation in Delft Engineering Education (IDEE).

The position falls within the IDEE project “Teaching and Learning in the Age of AI”, focusing on how we, as a university of technology, can respond to the rise of AI in the learning process. What does AI mean for the way we teach and learn? How can meaningful learning be redefined in today’s AI-enabled educational landscape? The project has the following overarching goals: (1) develop a theoretical framework of constructive alignment for AI-rich teaching environments; (2) identify which patterns of student-AI interactions influence the adoption of deep or surface approaches to learning; (3) create, implement and evaluate guidelines and knowledge base for teachers to design their courses so the use of AI contributes to meaningful learning; and (4) create an engaged community around teaching and learning in the age of AI.

For this post-doc position you will build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools. The second, led by a postdoctoral researcher, develops a framework for redefining meaningful learning in the age of AI. Building on these, you will explore ways that AI guidelines are being integrated into TU Delft courses across the campus and study their impact on meaningful student learning. Your initial goal will be to engage with the educational community involved in the project. You will then compile results from experiments and initiatives happening across the university. This preliminary investigation will inform a study that you will design and implement in TU Delft classroom(s). Ultimately, you will produce recommendations for implementation of guidelines across a range of university disciplinary settings.

As a disciplinary expert and senior researcher you will have the opportunity to assist in advising a PhD project, and will facilitate collaboration with the project’s existing team: a second postdoctoral researcher, research assistants, an educational advisor, and an interfaculty team of researchers and educators. Thus, we are seeking a highly motivated, collaborative, and talented researcher, with a keen eye for strong research designs.

Your recommendations will be developed through inquiry of questions such as:

• How do guidelines translate to different teaching methods used across faculties? Examples include: lecture, workshop, studio, seminar, and online learning material.
• What are the respective learning objectives, and assessments used in different disciplines and how do these integrate AI guidelines?
• How do AI guidelines influence student learning and how should educators integrate AI guidelines into their course planning?
• What recommendations do you have for AI guidelines and policies that take into account student learning and diverging teaching methods for different disciplines?

As a postdoctoral researcher, you will:

• Engage with Teaching Academy and education staff across TU Delft faculties to connect policies and guidelines to implementation approaches.
• Support researchers experimenting with the impact of AI on student learning.
• Review results from multiple studies and research in the IDEE group, to provide concrete recommendations.

Envisioned outputs:

• Peer-reviewed publications on realised impacts of policy and guidelines in classroom settings across engineering disciplines.
• Recommendations for implementing guidelines for designing learning objectives, teaching activities, and assessments that prioritise student learning in the age of AI.

Job requirements

• You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a related field.
• Your research background demonstrates a clear focus on education, learning or human behaviour.
• You have AI literacy and a strong interest in educational innovation, technology and AI.
• You are familiar with, or have an affinity for, design and/or engineering education research.
• You have experience with qualitative and quantitative research methods.
• You have a keen eye for robust research designs and enjoy conducting interdisciplinary research.
• You communicate clearly in English, both verbally and in writing.
• You work effectively both independently and collaboratively in a multidisciplinary environment.

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 Architecture & the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy, with four thousand people enthusiastically studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

Click here to go to the website of the Faculty of Architecture and the Built Environment.

Postdoc NonMonotone Game Theory

Job description

Modern society depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is a major scientific and societal challenge. It requires fundamentally new approaches to control and optimization in environments where multiple agents interact under uncertainty and constraints.

In this research project at TU Delft, you will develop computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded project “Data-driven Game Theoretic Control for Constrained Systems” (ARGON), you will work at the forefront of fundamental research with high potential for technological impact.

You will conduct theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems with nonlinear dynamics. By building on tools from nonlinear systems, switched linear and polynomial systems, and projected dynamical systems, you will develop new analysis and synthesis frameworks for data-driven non-monotone game theory for nonlinear systems. These methods will contribute to applications such as multi-actor power grids, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable operations.

Your responsibilities
As a postdoctoral researcher, you will:

1. Analyze several notions of local equilibria for non-convex, non-monotone game equilibrium problems;
2. Develop a dynamic game theory for switched polynomial systems;
3. Develop tractable computational methods for local equilibrium seeking in dynamic games with switched polynomial systems;
4. Extend the developed methods to the class of piecewise-monotone game equilibrium problems;

Your work environment
You will join the Delft Center for Systems and Control (DCSC) within the Faculty of Mechanical Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of expertise across systems and control, optimization and data-driven methods. At DCSC, you will find an open and collaborative environment where interdisciplinary teamwork, intellectual curiosity and scientific excellence are valued. We work closely across research clusters and application domains such as energy, mobility and high-tech systems, sharing a drive to deepen fundamental understanding and contribute to societally relevant, sustainable solutions.

Job requirements
You are a curious and proactive researcher who enjoys tackling complex theoretical and computational problems. You are motivated by fundamental scientific questions and take initiative in exploring novel ideas. You work well independently, while also thriving in a collaborative and internationally oriented research environment. As a strong team player, you contribute actively to discussions within a diverse research group and are open to feedback and new perspectives.

Furthermore, you meet the following requirements:

• You hold a PhD degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field.
• You have experience with, or a strong affinity for, Systems and Control, or Optimization, or Game Theory.
• You demonstrate excellent analytical and critical thinking skills, combined with curiosity and diligence.
• You have strong communication skills and an excellent command of English (knowledge of Dutch is not required).

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 Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

Medewerker Financiële Administratie - crediteuren

Functieomschrijving

Een goed georganiseerde financiële administratie is onmisbaar voor een grote en complexe organisatie als de TU Delft. Als medewerker financiële administratie binnen het crediteurenteam zorg jij ervoor dat het proces rondom inkoopfacturen en declaraties soepel en zorgvuldig verloopt. Van de eerste controle van een factuur tot en met de uiteindelijke betaling: jij houdt overzicht en zorgt dat de administratie klopt.

Je werkt daarbij op het snijvlak van financiële administratie, interne processen en wet- en regelgeving. Je controleert gegevens, signaleert afwijkingen en onderneemt actie wanneer iets niet klopt. Ook heb je contact met leveranciers en medewerkers over vragen, betalingen en eventuele disputen. Zo zorg je er samen met je collega’s voor dat financiële processen betrouwbaar en efficiënt verlopen.

Wat ga je doen?
Je bent verantwoordelijk voor de dagelijkse verwerking en controle van inkoopfacturen en declaraties. Je werkzaamheden zijn onder andere:

• Je controleert de volledigheid en juistheid van inkoopfacturen en declaraties en codeert deze volgens interne en externe regelgeving.
• Je controleert leveranciersdocumentatie en zorgt dat deze voldoet aan de eisen rondom omzetbelasting.
• Je voert de matching van inkoopfacturen met inkooporders in het financiële systeem uit.
• Je zorgt voor een tijdige en correcte betaling van inkoopfacturen en declaraties.
• Je beantwoordt vragen van leveranciers en medewerkers over het gebruik van het financiële systeem en handelt mogelijke disputen zorgvuldig af.
• Je analyseert openstaande posten, verklaart afwijkingen in de ouderdomsanalyse en onderneemt waar nodig actie.
• Je monitort wekelijks mogelijke dubbele betalingen en voert de benodigde controles en vervolgacties uit.
• Je verwerkt maandelijks correcties in het financiële systeem wanneer uit kwaliteitscontroles blijkt dat facturen niet juist zijn ingeboekt.

Jouw werkomgeving
Je maakt deel uit van het team Crediteurenadministratie binnen afdeling Finance operations. Samen met je collega’s zorg je ervoor dat inkoopfacturen en declaraties correct worden verwerkt en tijdig worden betaald. Je hebt daarbij contact met medewerkers binnen de TU Delft en met leveranciers. Je werkt in een professionele en dynamische omgeving waarin nauwkeurigheid, samenwerking en het continu verbeteren van financiële processen centraal staan.

Functie-eisen
Je werkt nauwkeurig en gestructureerd en houdt goed overzicht over verschillende werkzaamheden. Daarnaast ben je in staat om financiële gegevens te analyseren, afwijkingen te signaleren en passende acties te ondernemen. Je communiceert gemakkelijk met verschillende gesprekspartners, zowel binnen als buiten de organisatie.

Verder voldoe je aan de volgende eisen:

• Je hebt mbo+-niveau, bijvoorbeeld door een opleiding in financiële administratie, bedrijfsadministratie of een vergelijkbare richting.
• Je hebt ervaring met financiële administratie of een vergelijkbare functie.
• Je hebt kennis van wet- en regelgeving die relevant is voor financiële administraties.
• Je hebt goede kennis van en ervaring met Microsoft Excel, Word en Outlook.
• Je spreekt en schrijft goed Nederlands.

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 Data-Driven Distributed Game Theory

Job description

Modern society depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is a major scientific and societal challenge. It requires fundamentally new approaches to control and optimization in environments where multiple agents interact under uncertainty and constraints.

In this PhD project at TU Delft, you will develop distributed computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded project “Data-driven Game Theoretic Control for Constrained Systems” (ARGON), you will work at the forefront of fundamental research with high potential for technological impact.

You will conduct theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid systems, you will develop new computational frameworks for data-driven game-theoretic control in large-scale multi-agent systems. These methods will contribute to applications such as multi-actor power grids, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable operations.

Your responsibilities
As a PhD researcher, you will:

• Analyze the complexity of relevant structured classes of distributed game equilibrium problems.
• Develop data-driven decomposition methods for structured game equilibrium problems.
• Develop data-driven, fast and scalable computational methods for game equilibrium problems.
• Develop an open-source computational toolbox for dynamic game equilibrium problems.
• Teaching activities are part of your PhD trajectory and may include, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles.

Your work environment
You will join the Delft Center for Systems and Control (DCSC) within the Faculty of Mechanical Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of expertise across systems and control, optimization and data-driven methods. At DCSC, you will find an open and collaborative environment where interdisciplinary teamwork, intellectual curiosity and scientific excellence are valued. We work closely across research clusters and application domains such as energy, mobility and high-tech systems, sharing a drive to deepen fundamental understanding and contribute to societally relevant, sustainable solutions.

Job requirements
You are a curious and proactive researcher who enjoys tackling complex theoretical and computational problems. You are motivated by fundamental scientific questions and take initiative in exploring novel ideas. You work well independently, while also thriving in a collaborative and internationally oriented research environment. As a strong team player, you contribute actively to discussions within a diverse research group and are open to feedback and new perspectives.

Furthermore, you meet the following requirements:

• You hold an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field.
• You have experience with, or a strong affinity for, Systems and Control, or Optimization, or Game Theory.
• You demonstrate excellent analytical and critical thinking skills, combined with curiosity and diligence.
• You have strong communication skills and an excellent command of English (knowledge of Dutch is not required).

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 Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

PhD Position Experimental Validation of Wind Farm Flow Control

Job description
The rapid development of large offshore wind farms is essential for the transition towards a sustainable energy system. However, as wind turbines are installed increasingly close together, they interact through turbulent wind wakes. These wakes reduce the energy production of downstream turbines and can increase structural loading, creating a major challenge for the efficient and reliable operation of large wind farms.

A novel approach developed within our research group, known as Helix, aims to mitigate these wake losses by actively manipulating the wake using individual blade pitch control. While promising results have been obtained, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability of these models therefore remains a key scientific challenge.

In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A particular focus will be on exploiting the extensive experimental data generated within the HKN project, including measurements from wind-tunnel experiments and full-scale offshore wind turbines. These data will be used to improve and calibrate wind farm models, quantify their uncertainties, and experimentally assess the performance of Helix and potentially other wake-mixing and wind farm control strategies.

The project will bridge wind farm aerodynamics, advanced control, system identification, filtering, and data-driven modelling, with a strong emphasis on combining physical knowledge with measurements rather than relying on purely data-driven approaches. The ultimate goal is to develop more accurate and reliable models and methodologies for the design, validation, and deployment of advanced wind farm control strategies

Teaching activities are part of your PhD trajectory and may include, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD.

Job requirements
The successful candidate has the following qualifications:

• An MSc. degree in systems and control, fluid dynamics wind energy, aeroelastics, mechatronics, applied mathematics, mechanical engineering, or a related field.
• The capacity to communicate effectively with peers, students and stakeholders in the application field
• Good programming skills are a plus: MATLAB, Python, Git
• Fluency in English
• An open personality and good communication skills in written and spoken English.

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 Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.