3 Postdocs

This postdoctoral position offers a unique opportunity to go beyond the traditional postdoc trajectory. Instead of working in isolation on a narrowly defined project, you will become part of a small leadership team shaping a large interdisciplinary research programme.

By joining ECCO, you will:

• Develop your own research agenda within a major international project on citizen collectives and societal transitions
• Co-publish with leading scholars from multiple universities and disciplines
• Gain hands-on experience in project coordination and research leadership, valuable for future academic careers
• Work in a transdisciplinar and engaged way with policymakers, civil servants, and citizen collectives, ensuring your research has real societal impact
• Build an international academic network across several universities and research groups, building on the wide international network of the SEICA-research group
• Contribute to a project that aims to strengthen democratic participation and citizen-driven solutions to societal challenges

For postdocs who are intellectually curious, collaborative, and motivated to combine excellent research on citizen collectives and democracy with societal relevance, ECCO provides an exceptional environment to grow as a scholar and research leader.

As part of this role, you will:

• collaborate with PhD-researchers across several universities working on ECCO-related topics
• develop your own leadership style, whilst working together with your fellow-postdocs and the project management
• co-author academic publications with the supervisory teams and consortium partners
• help organise and coordinate research activities within the project, with the practical/logistic support of the CollectieveKracht-team
• work with societal partners, citizen collectives, and policymakers and make a real difference in society
• contribute to developing evidence-based tools and insights that help citizen collectives strengthen democracy and societal transitions

At the same time, you will have the opportunity to develop your own research agenda within the broader goals of the project.

This position therefore offers a unique combination of:

• academic research
• project leadership and coordination
• transdisciplinary collaboration
• societal impact

FAIR for AI Project Coordinator

Job description

4TU.ResearchData is looking for an enthusiastic and proactive Project Coordinator to lead a new initiative called Enabling FAIR for AI: Infrastructure for Transparency and Reproducibility of Research Software. In this role, you will shape and drive work that enables researchers to reuse and reproduce data and software more effectively, especially in ML/AI, and in alignment with the FAIR principles. The project aims to do this by further developing and extending the functionality of Djehuty, which is the open source repository used by 4TU.ResearchData and Nikhef. Key project outcomes will include criteria for a graded badge to assess the quality and reproducibility of data, software and models, a software reproducibility service, and improved deposit, curation and reproducibility workflows. The project will align with broader national and international initiatives related to reproducibility and meet emerging regulatory requirements related to ethical and responsible AI. This work is funded by Open Science NL (part of NWO) as part of its programme to strengthen the infrastructure of open science in the Netherlands.

In this role, you will collaborate closely with project partners from several Dutch institutions (Netherlands eScience Center, Nikhef and University of Twente) and work as part of the 4TU.ResearchData team in the TU Delft Library. You will oversee project and work package management, coordinating both internally and externally to ensure stakeholder alignment and engagement.

Your tasks and responsibilities:

• Overall project coordination: leading the planning and day-to-day management of the project;
• Gathering and synthesising requirements for the development and integration of machine learning and AI functionalities into research data infrastructure services;
• Ensuring alignment with the FAIR principles and ethical AI guidelines;
• Monitoring progress, including project timelines, milestones and deliverables;
• Leading and authoring project deliverables, including reports and guidelines, in collaboration with project partners;
• Organising workshops, meetings and community engagement activities, including with user communities and (inter)national networks related to reproducibility, ML/AI, software and models;
• Supporting the dissemination and promotion of project opportunities and outcomes through documentation, presentations and outreach;
• Lead project administration and reporting, including financial administration of the project for 4TU.ResearchData;
• Contributing to relevant 4TU.ResearchData activities (e.g. community events) and supporting colleagues within the team as required.

About 4TU.ResearchData
4TU.ResearchData is a research infrastructure, community and training provider whose mission is to enable researchers from science, engineering and design disciplines to make a global impact with research data and software. We provide a trusted digital repository which support Findable, Accessible, Interoperable and Reusable (FAIR) data and software by offering curation, sharing, long-term access and preservation. The repository has a broad community of users and supporters who advance FAIR data and software practices. 4TU.ResearchData is governed and led by a consortium of four technical universities in the 4TU.Federation (TU Delft, University of Twente, TU Eindhoven and Wageningen University & Research) and is hosted by TU Delft.

Please note that this position is based in the Netherlands (working remotely from abroad is not possible).

Job requirements
We are looking for enthusiastic candidates who have:

• Demonstrated experience in coordinating large projects, including expertise in project management, administration and reporting;
• Excellent understanding and experience of working in higher education and research contexts, preferably in roles related to research or research services;
• Demonstrated understanding and expertise in machine learning, responsible AI or research data infrastructures. You do not need to be a technical expert, but you should be comfortable working with technical teams;
• Strong organisational skills with a proactive, solution-oriented mindset and the ability to keep complex activities and outputs on track;
• Excellent team-working and collaboration skills, including experience leading or working with multiple project partners, networks and stakeholders;
• Strong personal communication skills, including an ability to engage and communicate effectively with a broad range of stakeholders;
• Affinity with and knowledge of open science and FAIR data/software.

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!

University Corporate Office – TU Delft Library
TU Delft Library is the largest technical-scientific library in the Netherlands, a physical and virtual meeting place. The Library helps to find valuable knowledge needed for education and research, and to publish and store the knowledge generated at TU Delft. We believe it is important that knowledge is easily accessible and freely available to everyone. In this way, knowledge can flow freely and TU Delft's knowledge can become valuable to others. The Library is also a place where everyone can study in peace and quiet. This fits in with our inclusive organisation. The Library has chosen three strategic themes to guide its daily activities. 1) Open Science. We make an important contribution to TU Delft's broad strategic programme "Open Science - Research and Education in the Open Era". 2) Visibility and impact. With our expertise and tools in the field of research data management, research intelligence and publishing, we increase the findability, visibility and impact of TU Delft knowledge. 3) Inspiring learning and working environment. Through stimulating programming, we show how freely available and reliable knowledge makes life richer. This makes the Library a place where you can find new ideas and insights.

https://www.tudelft.nl/en/library/

Software Engineer (Open Source - 4TU.ResearchData)

Job description

4TU.ResearchData is looking for an experienced Software Engineer to help strengthen and extend our repository for data and software. The 4TU.ResearchData repository uses in-house free and open source software called Djehuty. As part of our commitment to open science and the FAIR principles, we continuously work to improve the interoperability and reproducibility of data and software. Specifically for this purpose, we are seeking a Software Engineer who will mainly contribute to two projects funded by Open Science NL (part of NWO):

• Enabling FAIR for AI: Infrastructure for Transparency and Reproducibility of Research Software

This project aims to make research data and software easier to reuse, verify and build upon. At present, software shared alongside research outputs often lacks the context and metadata needed to fully reproduce results. To address this, the project will improve transparency, interoperability and long-term usability by enhancing Djehuty, the open source repository platform used by 4TU.ResearchData and Nikhef. This work will support researchers by providing clearer guidance and more robust tools for responsibly sharing, citing and maintaining software, especially software associated with ML/AI models. Key project outcomes will include criteria for a graded badge to assess the quality and reproducibility of data, software and models, a software reproducibility service, and improved deposit, curation and reproducibility workflows.

• Towards a community-driven and sustainable Research Software Directory (RSD):

The RSD is an open source platform that highlights the impact of research software using a broad range of qualitative indicators. This project aims to expand the RSD with a peer-review mechanism for software, improve curation support for communities and organisations, and link to ready-to-run cloud instances and reproducibility packages (being developed by 4TU.ResearchData) to stimulate software reuse.

In this role, you will collaborate closely with project partners from several Dutch institutions and work as part of the 4TU.ResearchData team at the TU Delft Library, contributing directly to the further development of Djehuty. You will coordinate development with other software engineers at 4TU.ResearchData to ensure alignment. You will also contribute to the maintenance and operation of the 4TU.ResearchData repository.

Your tasks and responsibilities:

• Guide and contribute to collaborative national projects, focusing on functionalities and workflows supporting reproducibility of software and AI/ML models;
• Research, design and implement solutions within the current architecture, extending functionalities where needed;
• Communicate design and implementation choices to project partners and the open source community, including updating documentation;
• Collaborate and coordinate development with project partners and the 4TU.ResearchData team to ensure alignment;
• Contribute to the maintenance and operation of the 4TU.ResearchData repository;
• Support other colleagues as needed.

About 4TU.ResearchData
4TU.ResearchData is a research infrastructure, community and training provider whose mission is to enable researchers from science, engineering and design disciplines to make a global impact with research data and software. We provide a trusted digital repository which support Findable, Accessible, Interoperable and Reusable (FAIR) data and software by offering curation, sharing, long-term access and preservation. The repository has a broad community of users and supporters who advance FAIR data and software practices. 4TU.ResearchData is governed and led by a consortium of four technical universities in the 4TU.Federation (TU Delft, University of Twente, TU Eindhoven and Wageningen University & Research) and is hosted by TU Delft.

Please note that this position is based in the Netherlands (working remotely from abroad is not possible).

Job requirements

• Strong proficiency in Python and its standard libraries;
• Proficiency with GNU/Linux, HTML/CSS, Javascript, Git;
• Full-stack web development awareness;
• Solid understanding of software engineering principles, including design, testing and version control;
• Comfortable working with complex systems, data workflows or research-oriented environments;
• Ability to translate requirements into technical solutions;
• Experience working with community-driven open source projects;
• Awareness of the FAIR principles;
• Good communication and team-working skills.

Desirable:

• Experience with research software, AI/ML workflows and model deployment;
• Familiarity with metadata standards, reproducibility frameworks and research data infrastructures;
• Experience contributing to or maintaining community-driven open source projects.

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!

University Corporate Office – TU Delft Library
TU Delft Library is the largest technical-scientific library in the Netherlands, a physical and virtual meeting place. The Library helps to find valuable knowledge needed for education and research, and to publish and store the knowledge generated at TU Delft. We believe it is important that knowledge is easily accessible and freely available to everyone. In this way, knowledge can flow freely and TU Delft's knowledge can become valuable to others. The Library is also a place where everyone can study in peace and quiet. This fits in with our inclusive organisation. The Library has chosen three strategic themes to guide its daily activities. 1) Open Science. We make an important contribution to TU Delft's broad strategic programme "Open Science - Research and Education in the Open Era". 2) Visibility and impact. With our expertise and tools in the field of research data management, research intelligence and publishing, we increase the findability, visibility and impact of TU Delft knowledge. 3) Inspiring learning and working environment. Through stimulating programming, we show how freely available and reliable knowledge makes life richer. This makes the Library a place where you can find new ideas and insights.

https://www.tudelft.nl/en/library/

PhD Position Advanced Predictive Control and Flexibility Optimization for Greenhouse Energy Hubs

Job description
The overarching goal of the SPROUT project is to enable a large scale transition of the Dutch greenhouse horticulture sector toward renewable integrated, highly flexible energy hubs that can actively support the national electricity grid. Greenhouse companies currently provide a significant share of the Netherlands’ dispatchable power capacity; as they move away from fossil fuel based CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control architectures, and scalable system designs, this project aims to ensure that greenhouse energy systems can continue to provide grid supporting flexibility. These greenhouse energy hubs can thereby reduce the need for expensive new dispatchable generation capacity, enable deeper renewable energy penetration, mitigate grid congestion, and reducing CO₂ emissions at national scale.

In this PhD project, you will develop advanced predictive control methods to optimize the operation of an integrated system of hybrid energy storage systems (i.e., multi-carrier energy hub or micro-grid) and high-tech greenhouses. These hubs combine electricity, heat, hydrogen, CO₂, and other energy carriers with greenhouse climate control, resulting in a highly coupled, nonlinear, multi-timescale dynamical system. Your work will focus on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and flexibility optimization. A key challenge is to quantify and exploit the inherent operational flexibility of greenhouse processes—such as lighting, heating, and CO₂ dosing—while respecting crop physiology constraints and ensuring reliable operation under uncertainty, variable energy prices, and grid balancing needs.

You will develop hierarchical and/or integrated predictive control strategies that coordinate energy hub assets with greenhouse climate actuators, exploring multiple operational objectives: cost minimization, flexibility maximization, and load shifting in response to grid signals. The project will require translating high fidelity physical/physiological models into computationally efficient control oriented models, supported by online parameter estimation to ensure adaptability across greenhouse types. Your algorithms will first be evaluated through simulation using real operational datasets, and later deployed and tested at two physical facilities: a kW scale testbed at TU Delft’s Green Village and a MW scale greenhouse hub operated by Division Q.

This PhD position is well suited for candidates eager to work at the intersection of nonlinear systems, optimal control, and energy systems engineering, with real-world impact and experimental validation. You will collaborate closely with industrial partners (eFuelution, Division Q) and interdisciplinary researchers at TU Delft (TPM, energy system modeling and optimization) and Wageningen University and Research (plant physiology), contributing directly to the Dutch horticulture sector’s transition toward more flexible, renewable integrated operation.

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

• Completed a relevant Msc degree in systems and control, engineering, applied mathematics, or a related field.
• A sufficient background and strong interest in systems and control, model predictive control, and energy systems.
• Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial practice is a plus, but not required.
• Experience with greenhouse climate control is not required, but an interest in this aspect of the research is important.

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 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 in High-Performance CMOS Phase-Locked Loop Design

Job description

Why this position is important

Future wireless communication systems demand frequency synthesizers with extremely low jitter, low spurious emissions, and strong robustness against disturbances such as frequency pushing and pulling. Phase-locked loops (PLLs) are a fundamental component of nearly all wireless transceivers, but existing architectures face increasing challenges in meeting the performance requirements of next-generation systems.

This position is part of the ERC Synergy DISRUPT project, which aims to fundamentally rethink PLL architectures and develop new circuit techniques that significantly improve spectral purity, robustness, and efficiency. The research will contribute to advancing the state of the art in frequency synthesis and enabling more reliable, high-performance wireless communication technologies.

What you will do

In this role, you will explore and develop innovative PLL architectures and their key building blocks. Your work will include system-level modeling, architectural exploration, transistor-level circuit design, and detailed simulation and verification. You will translate new architectural concepts into integrated circuit implementations and evaluate their performance through measurements on fabricated silicon chips.

You will contribute to multiple stages of the design cycle, from concept development and modeling to circuit implementation and experimental validation. The work provides a unique opportunity to see advanced circuit ideas realized and tested on real silicon.

How you will work

Your research will combine theoretical analysis, behavioral modeling, and practical integrated circuit design. You will use advanced CAD tools for system and circuit simulation, apply modern analog/RF design methodologies, and participate in measurement and characterization of prototype chips.

The project encourages creative thinking and architectural innovation while maintaining a strong link to practical implementation and experimental verification.

With whom you will work

You will be supervised by Masoud Babaie and Robert Bogdan Staszewski and will be part of the ELCA (Electronic Circuits and Architectures) group in the Microelectronics Department. The ELCA group conducts world-leading research in RF and mixed-signal integrated circuits for wireless communication systems.

You will work closely with PhD students, postdoctoral researchers, and senior scientists within the ERC Synergy DISRUPT project, and collaborate with international academic partners involved in the project. The position offers a highly collaborative and stimulating research environment at the forefront of integrated circuit innovation.       

Job requirements
Essential requiremets:

• M.Sc. degree in Microelectronics, Electrical Engineering, or a closely related field.
• Strong background in analog, mixed-signal, and RF circuit design.
• Hands-on RTL design experience (SystemVerilog, Verilog, or Verilog-AMS).
• Demonstrable creativity and originality in problem solving and circuit design.
• Good presentation, writing, and communication skills.
• Strong command of English (spoken and written).
• Ability to work effectively in an international and collaborative research environment.
• Strong team player with excellent communication skills to collaborate smoothly with international colleagues.

Nice to have

• Prior tape-out experience.
• Familiarity with the digital back-end flow, including synthesis, place-and-route, and timing closure.        

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.