Call for Expressions of Interest: Maria Skłodowska-Curie Actions (MSCA) Postdoc Fellowship

Embedded Systems Group – TU Delft

The Embedded Systems Group at TU Delft invites Expressions of Interest (EoI) from outstanding international researchers who wish to apply for the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship.

This prestigious fellowship offers an exceptional opportunity to advance your research career through advanced training, international mobility, and collaboration within a world-leading research environment.

Why Choose TU Delft?

A World-Class and Inclusive Research Environment

• Ranked #20 worldwide in Engineering & Technology (QS World University Rankings)
• Ranked #8 worldwide and #1 in Europe in Mobile Computing research (csrankings.org, 2026)
• A collaborative and inclusive research culture where diverse perspectives drive innovation

Collaboration and Innovation in Embedded and 6G Mobile Computing

• Strong interdisciplinary collaboration across Mobile Computing and 6G research
• A supportive team-oriented environment that promotes both scientific excellence and personal growth
• Commitment to openness, inclusion, and shared success

State-of-the-Art Facilities and Knowledge Sharing

• Access to world-class laboratories and experimental platforms
• Advanced infrastructure for high-level experimentation, prototyping, and hands-on development
• A dynamic ecosystem encouraging both independent and collaborative research

Bridging Academia and Industry for Societal Impact

• Active collaboration with leading industry partners
• Multidisciplinary projects connecting science, engineering, and real-world applications
• Research addressing societal challenges, including sustainable communications and AI-driven healthcare

Career Development and Inclusive Growth

• Structured mentorship and leadership development programs
• International networking opportunities
• Strong institutional commitment to diversity, equity, and inclusion
• A welcoming academic environment supporting diverse career paths

Research Topics of Interest
We welcome proposals aligned with, but not limited to, the following areas:

Joint Communication and Sensing in mmWave, sub-THz, and Visible Light

Topics include:

• Security and privacy
• Scheduling and resource optimization
• Signal processing
• Transparent antenna arrays
• Explainable machine learning
• 6G non-terrestrial communications

Embedded AI
Topics include:

• Tiny machine learning (TinyML)
• Distributed/Split learning/inference
• Embedded networked agents
• Embedded devices for medical applications

Sustainable Computing and Communication
Topics include:

• CO₂-neutral communication and computation
• Embodied carbon reduction
• Battery-free systems

Applicant should:

• Hold a PhD in Electrical Engineering, Computer Science, Physics, or a closely related field. Candidates with interdisciplinary backgrounds are very welcome.
• Show creativity and enthusiasm to push beyond the current state of the art. A strong publication record from your PhD is valued, and we also appreciate diverse forms of research contributions.
• Bring relevant expertise to pursue the proposed research topic. We value new perspectives, also if your previous experience is in a different but related field.
• Be motivated to publish high-quality scientific results and contribute to the advancement of the research community.
• Be interested in working in an international research environment and enjoy mentoring BSc, MSc, and PhD students in their academic and professional development.
• Be able to work independently while actively contributing to a collaborative, respectful, and inclusive research environment in which team members support each other’s growth.

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.

Call for Expressions of Interest: Maria Skłodowska-Curie Actions (MSCA) Postdoc Fellowship

Embedded Systems Group – TU Delft

The Embedded Systems Group at TU Delft invites Expressions of Interest (EoI) from outstanding international researchers who wish to apply for the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship.

This prestigious fellowship offers an exceptional opportunity to advance your research career through advanced training, international mobility, and collaboration within a world-leading research environment.

Why Choose TU Delft?

A World-Class and Inclusive Research Environment

• Ranked #20 worldwide in Engineering & Technology (QS World University Rankings)
• Ranked #8 worldwide and #1 in Europe in Mobile Computing research (csrankings.org, 2026)
• A collaborative and inclusive research culture where diverse perspectives drive innovation

Collaboration and Innovation in Embedded and 6G Mobile Computing

• Strong interdisciplinary collaboration across Mobile Computing and 6G research
• A supportive team-oriented environment that promotes both scientific excellence and personal growth
• Commitment to openness, inclusion, and shared success

State-of-the-Art Facilities and Knowledge Sharing

• Access to world-class laboratories and experimental platforms
• Advanced infrastructure for high-level experimentation, prototyping, and hands-on development
• A dynamic ecosystem encouraging both independent and collaborative research

Bridging Academia and Industry for Societal Impact

• Active collaboration with leading industry partners
• Multidisciplinary projects connecting science, engineering, and real-world applications
• Research addressing societal challenges, including sustainable communications and AI-driven healthcare

Career Development and Inclusive Growth

• Structured mentorship and leadership development programs
• International networking opportunities
• Strong institutional commitment to diversity, equity, and inclusion
• A welcoming academic environment supporting diverse career paths

Research Topics of Interest
We welcome proposals aligned with, but not limited to, the following areas:

Joint Communication and Sensing in mmWave, sub-THz, and Visible Light

Topics include:

• Security and privacy
• Scheduling and resource optimization
• Signal processing
• Transparent antenna arrays
• Explainable machine learning
• 6G non-terrestrial communications

Embedded AI
Topics include:

• Tiny machine learning (TinyML)
• Distributed/Split learning/inference
• Embedded networked agents
• Embedded devices for medical applications

Sustainable Computing and Communication
Topics include:

• CO₂-neutral communication and computation
• Embodied carbon reduction
• Battery-free systems

Applicant should:

• Hold a PhD in Electrical Engineering, Computer Science, Physics, or a closely related field. Candidates with interdisciplinary backgrounds are very welcome.
• Show creativity and enthusiasm to push beyond the current state of the art. A strong publication record from your PhD is valued, and we also appreciate diverse forms of research contributions.
• Bring relevant expertise to pursue the proposed research topic. We value new perspectives, also if your previous experience is in a different but related field.
• Be motivated to publish high-quality scientific results and contribute to the advancement of the research community.
• Be interested in working in an international research environment and enjoy mentoring BSc, MSc, and PhD students in their academic and professional development.
• Be able to work independently while actively contributing to a collaborative, respectful, and inclusive research environment in which team members support each other’s growth.

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.

PhD Position Foundation Models for Industry (FIND)

Job description

Foundation Models lie at the core of today’s Generative AI revolution, enabling systems that can learn from massive, heterogeneous data, generalize across tasks, and empower increasingly autonomous and adaptive technologies. They are transforming how we approach complex cognitive tasks, from perception and reasoning to generation and decision-making, and are rapidly becoming the backbone of next-generation industrial AI. Within the NWO Perspectief program Foundation Models for Industry (FIND), this PhD position aims to advance multi-modal foundation models that operate across diverse industrial data types, including vision, radar, text, multi-spectral satellite imagery, and molecular data, and translate them into real-world impact in domains such as Electric Mobility and Robotics, Molecular Discovery, Smart Industry, and Remote Sensing.

The project will explore both large-scale pre-training and adaptation of foundation models on high-performance computing (HPC) infrastructures, as well as the development of efficient, robust, and compressed architectures that can be deployed on edge devices, embedded platforms, and autonomous systems. A central goal is to create a seamless bridge between scalable, compute-intensive generative models and efficient, real-time AI systems suitable for robotics, intelligent vehicles, industrial automation, and emerging Agentic AI applications.

The PhD candidate will contribute to the development of the FIND open, precompetitive toolbox of models, training methodologies, and integration strategies, helping to extend foundation models to industrial use-cases that are currently underserved. Embedded within a unique national consortium including universities such as TU Delft, TU Eindhoven, University of Amsterdam, and Leiden University, and industry partners such as ASML, NXP, Shell, and Canon, the candidate will collaborate closely with academic and industrial partners, participate in co-designed use-cases, and benefit from cross-disciplinary exchange and industry internships. This position offers a rare opportunity to shape the future of foundation models that not only scale in capability, but also translate into resilient, trustworthy, and deployable AI solutions for the high-tech industries of tomorrow.

Job requirements

1. An M.Sc. degree in computer science (preferred), electrical engineering or relevant fields
2. Strong background in computer science, optimization and advanced algebra
3. Background in Deep Learning, Generative (and Agentic) AI is prefferable
4. Track record of publication in venues of AI is a big plus
5. Experience in software engineering and programming with Python / Pytorch
6. Good verbal and written English skills
7. Excellent communication and interpersonal skills and ability to work in a collaborative environment

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.

Project Manager QIA

Job description
The Quantum Internet Alliance (QIA) is Europe’s flagship initiative to build a global quantum internet. Its mission is to develop the world’s first full-stack prototype quantum internet, validating all key subsystems and strengthening Europe’s technological leadership. As a pioneering community, QIA brings together world-class research, industry partners, and policy engagement to grow a resilient and innovative European quantum internet ecosystem. Learn more at https://quantuminternetalliance.org/.

As QIA Project Manager, you will play a key operational role in coordinating the closure of the first phase of QIA’s current Framework Partnership Agreement (FPA) and the early implementation of its second phase. Working within an established programme governance structure, you will ensure smooth organisational, administrative, and reporting processes across the consortium. You will support project planning, deliverables tracking, budget coherence, EC compliance, and cross-functional coordination between work package leaders, partners, and internal teams. This role sits at the heart of QIA’s operations, enabling the consortium to deliver high-quality outcomes under Horizon Europe requirements. You will collaborate closely with the Senior Program Manager, maintaining a clear division between operational project management and programme-level strategy and steering.

Key Responsibilities

• Provide support for the day-to-day coordination and management of activities related to the closing of QIA phase 1.Coordinate the setup and early implementation of QIA phase 2 within QIA’s established governance structures.
• Execute and oversee operational delivery of the project, monitoring progress against deliverables, milestones, timelines, risks, and issues, and ensuring structured governance, reporting, and administrative oversight.
• Support financial management and EC-compliance, ensuring documentation, reporting materials, and cost overviews are aligned with Horizon Europe requirements.
• Facilitate operational coordination between work package leaders, consortium partners, the project office, finance, and legal teams.
• Track risks, timelines, and reporting readiness, escalating issues to the Senior Program Manager or QIA Director where needed.
• Ensure structured information flow across partners and internal teams, supporting effective decision-making.
• Work collaboratively with the Senior Program Manager, maintaining clear separation between operational execution and programme-level steering.

Requirements

• Min 3 years’ experience as a Project Manager in an academic setting or experience with Horizon Europe or other EU-funded projects is a must.
• Strong organisational, planning, and project-coordination skills as well as ability to manage multiple stakeholders across complex, multi-partner environments.
• Experience coordinating structured processes in research, innovation, or project-driven settings.
• Ability to work systematically with documentation, deadlines, reporting cycles, and administrative deliverables.
• Prior experience in large, multi-actor R&D consortia or deep-tech initiatives would be a plus.
• Excellent communication skills in English, both written and verbal.

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
At QuTech, we work on radically new technologies with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and a quantum internet by integrating world-class research and groundbreaking innovation. Through excellence, relevance, and leadership, we cultivate a vibrant quantum technology ecosystem. Together, we are creating the quantum future, because we believe that quantum technologies can be a game changer in many societal and economic sectors, including health, agriculture and safety.

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

PhD Position Power-Digital Transmitter (DTX) Design

Job description

Wireless communication has made fantastic progress. However, the biggest concern is the exponential increase in energy consumption of next-generation 5G/6G networks that use "massive Multi-Input/Multi-Output (mMIMO)" techniques. Without a breakthrough, these networks are expected to consume a significant portion of global electricity production by 2030. The main culprits are analog-oriented radio frequency (RF) transmitters (TX), which consume significant energy (even with minimal data traffic) to meet the high-quality requirements of the transmission signal. This PhD position is part of the” ERC Synergy Grant” awarded project “DISRUPT”, which aims to realize a revolutionary all-digital signal generation in the time domain using new materials, transistors, and design techniques. This approach will, for the first time, deliver the required RF transmission powers using only digital techniques and will be the first to benefit from the theoretical 3000x better RF switching performance of III-Nitride semiconductors compared to silicon.

Foreseen breakthroughs of the DISRUPT project are:

1) New material and transistor concepts for digital RF power generation. 2) Innovative CMOS controllers in combination with revolutionary (gate-)segmented LDMOS/GaN technologies, containing thousands of small RF-power transistors, that can be individually controlled with picosecond accuracy. 3) Broadband coherent signal generation using new waveforms. 4) New distributed RF-power signal generation and combining, enabling wideband and highly energy-efficient transmitters. 5) Seamless integration of serial high-speed digital data transport, clock recovery, signal processing (DSP), wideband low-power error detection using novel ADC architectures, and artificial intelligence-based error correction.

The unique DISRUPT approach offers unprecedented functionality, integration, and efficiency for wireless systems in terrestrial and satellite applications. When DISRUPT is successful, the energy consumption of wireless networks is expected to be reduced by 50% compared to following current technological development paths. This PhD project (PhD C) in the DISRUPT framework focuses on Power-Digital Transmitter (DTX) design.

It addresses the following scientific challenges and provides hardware solutions for:

• Low-loss RF-power switch banks layouts
• CMOS-LDMOS and CMOS-GaN high-density interconnect schemes
• Novel RF-power combiner topologies/schemes fully exploring DTX functionality
• Wideband efficiency-enhancement schemes for deep power back-off operation
• Ultra-low form-factor / novel package integration
• Thermal design of RF-power DTX

You will be part of a leading team in wireless transmitters within the Electronic Research Laboratory (ELCA) of the Delft University of Technology, Delft, the Netherlands. Within ELCA we share a drive to pioneer novel RF/wireless solutions at the device, circuit, and system levels. The daily supervision team consists of Dr. Morteza Alavi and Prof. Dr. Leo de Vreede (IEEE Fellow) from ELCA, complemented by our esteemed DISRUPT partners at UCD and Fraunhofer IAF/IZM, as well as various experts from the wireless industry. Fostering an inspiring, friendly, and supportive environment, we meet regularly, educate you on solving complex problems, share ideas and knowledge, team up, and provide the support you need to evolve as a scientist.

Curious to learn more about this PhD position and DISRUPT? Please visit our website, where you’ll also find the other exciting PhD descriptions/opportunities related to DISRUPT.

Job requirements
In order to be successful in this project, you bring:

• MSC in Electrical Engineering
• Experience in IC design (Cadence)
• Knowledge of RF/wireless and RF design tools (ADS)
• Good programming skills in Matlab/Python/C/C++
• You are familiar with implementing a digital Design flow.
• Good oral and written skills in English
• Enjoys working in an international and interdisciplinary team and research group

To thrive as a PhD candidate in this project, it’s crucial that you are a team player and have a strong research mindset driven by curiosity and passion for your topic. Reflecting on your motivation for pursuing a PhD trajectory is essential, as this path involves unique challenges and uncertainties inherent to scientific exploration. Success requires dedication, adaptability, the ability to analyze/design complex problems, effective time management, innovation, and resilience under pressure. Combined with the ability and willingness to work independently and collaborate well, these qualities are indispensable for a fulfilling PhD journey. These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse paths, inside or outside academia.

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.