
Vacatures geplaatst door TU Delft
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Laatste vacatures
PhD Position - Semiconductor Materials for Quantum Technology
Job description
We are seeking for a motivated PhD candidate to join us at the Scappucci Lab and help us contribute to the development of next-generation semiconductor materials for quantum technology. Our team has pioneered advanced semiconductor materials for spin-based quantum computing, and with this project we aim to take a bold step forward.
As a PhD researcher, you will design and validate new germanium and silicon-based material stacks and devices to overcome current limitations of semiconductor qubits. By enabling qubits that are more uniform and more coherent your work will help tackle key challenges on the path toward scalable and useful quantum computers.
Throughout your PhD, you will develop a broad and valuable skill set, including:
- Semiconductor material design and advanced epitaxial deposition.
- Nanofabrication of quantum devices.
- Low-temperature electrical characterization of semiconductor quantum devices and circuits.
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.
- Master’s degree in engineering, physics, or a related field.
- Hands on experience in semiconductor epitaxy and microfabrication in a clean room environement is appreciated.
- Interest in semiconductor quantum technology.
- Motivation to work in an interdisciplinary and collaborative research environment.
- Strong written and oral communication skills in English.
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.
AcademicTransfer
1 sollicitatie
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19-05-2026 TU Delft
PhD Position - Semiconductor Materials for Quantum Technology
Job description
We are seeking for a motivated PhD candidate to join us at the Scappucci Lab and help us contribute to the development of next-generation semiconductor materials for quantum technology. Our team has pioneered advanced semiconductor materials for spin-based quantum computing, and with this project we aim to take a bold step forward.
As a PhD researcher, you will design and validate new germanium and silicon-based material stacks and devices to overcome current limitations of semiconductor qubits. By enabling qubits that are more uniform and more coherent your work will help tackle key challenges on the path toward scalable and useful quantum computers.
Throughout your PhD, you will develop a broad and valuable skill set, including:
- Semiconductor material design and advanced epitaxial deposition.
- Nanofabrication of quantum devices.
- Low-temperature electrical characterization of semiconductor quantum devices and circuits.
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.
- Master’s degree in engineering, physics, or a related field.
- Hands on experience in semiconductor epitaxy and microfabrication in a clean room environement is appreciated.
- Interest in semiconductor quantum technology.
- Motivation to work in an interdisciplinary and collaborative research environment.
- Strong written and oral communication skills in English.
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.
2 sollicitaties
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19-05-2026 TU Delft
2 PhD Positions in Quantum Network Systems
Job Description
The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with the 'classical' Internet that we have today - connect quantum processors in order to achieve unparalleled capabilities that are provably impossible using only classical communication.
Two PhD positions in the domain of quantum network systems are available in the group of Prof. Dr. Stephanie Wehner at QuTech, Delft University of Technology. Both positions are embedded in the Quantum Internet Alliance collaboration.
1. Quantum Node Operating Systems
The goal of this PhD position is to advance QNodeOS, the node operating system that allows the execution of quantum network applications on user devices (end nodes) connected to a quantum network.
This PhD is part of the highly collaborative effort of the Quantum Internet Alliance (QIA), and targets optimization and adaption of QNodeOS to allow deployment on QIA’s realworld quantum network prototype. You will work within QIA’s large, multidisciplinary collaboration and are expected to take ownership of a clearly defined technical role in this realization of the prototype network, which may become the first of its kind in the world.
The successful candidate is strongly motivated by designing and developing real-world software systems for quantum networks at the forefront of R&D, and is excited by handson research that brings quantum networking technology out of the lab and into operational prototypes. This is a systems PhD in the domain of experimental quantum computer science, including the realization and demonstration of future versions of QNodeOS on real quantum networking hardware.
2. Quantum Network Control Plane
A control plane architecture (Aqron) was developed for a quantum internet, that is, a general purpose quantum network capable of creating entanglement between end nodes. Simultaneously, control plan architectures exist for near term QKD networks, where only keys can be distributed between end nodes. The goal of this PhD is to device a unified control plane architecture that can deal with both modalities.
This PhD is part of the highly collaborative effort of the Quantum Internet Alliance (QIA) in its collaboration with near term QKD efforts, and has the potential for lasting impact in the deployment and development of quantum networks.
The successful candidate is strongly motivated by designing and developing real-world software systems for quantum networks at the forefront of R&D, and is excited by handson research that brings quantum networking technology out of the lab and into operational prototypes. This is a systems PhD in the domain of experimental quantum computer science, including the realization of control plane demonstrations.
Background and Profile:
We are looking for candidates with a strong systems background, preferably with experience in one or more of the following areas:
- Operating systems (project 1).
- Distributed systems software.
- Networked systems or control software (project 2).
A background in computer science, computer engineering, or a closely related field is expected. Prior knowledge of quantum information is a plus, but not a requirement.
The successful candidates bring good communication and interpersonal skills, enjoy working in a large multi-disciplinary collaboration, and take ownership of their contribution to the QIA mission. Candidates are expected to visit collaborating institutions in other places of Europe as part of their work.
Requirements
- Master’s degree (or equivalent) in computer science, computer engineering, or a related discipline at the start of the position.
- Demonstrated experience in software systems (e.g. through projects).
- Familiarity with programming in C (project 1) and Python.
- Proficiency in English.
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.
AcademicTransfer
1 sollicitatie
0 views
19-05-2026 TU Delft
2 PhD Positions in Quantum Network Systems
Job Description
The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with the 'classical' Internet that we have today - connect quantum processors in order to achieve unparalleled capabilities that are provably impossible using only classical communication.
Two PhD positions in the domain of quantum network systems are available in the group of Prof. Dr. Stephanie Wehner at QuTech, Delft University of Technology. Both positions are embedded in the Quantum Internet Alliance collaboration.
1. Quantum Node Operating Systems
The goal of this PhD position is to advance QNodeOS, the node operating system that allows the execution of quantum network applications on user devices (end nodes) connected to a quantum network.
This PhD is part of the highly collaborative effort of the Quantum Internet Alliance (QIA), and targets optimization and adaption of QNodeOS to allow deployment on QIA’s realworld quantum network prototype. You will work within QIA’s large, multidisciplinary collaboration and are expected to take ownership of a clearly defined technical role in this realization of the prototype network, which may become the first of its kind in the world.
The successful candidate is strongly motivated by designing and developing real-world software systems for quantum networks at the forefront of R&D, and is excited by handson research that brings quantum networking technology out of the lab and into operational prototypes. This is a systems PhD in the domain of experimental quantum computer science, including the realization and demonstration of future versions of QNodeOS on real quantum networking hardware.
2. Quantum Network Control Plane
A control plane architecture (Aqron) was developed for a quantum internet, that is, a general purpose quantum network capable of creating entanglement between end nodes. Simultaneously, control plan architectures exist for near term QKD networks, where only keys can be distributed between end nodes. The goal of this PhD is to device a unified control plane architecture that can deal with both modalities.
This PhD is part of the highly collaborative effort of the Quantum Internet Alliance (QIA) in its collaboration with near term QKD efforts, and has the potential for lasting impact in the deployment and development of quantum networks.
The successful candidate is strongly motivated by designing and developing real-world software systems for quantum networks at the forefront of R&D, and is excited by handson research that brings quantum networking technology out of the lab and into operational prototypes. This is a systems PhD in the domain of experimental quantum computer science, including the realization of control plane demonstrations.
Background and Profile:
We are looking for candidates with a strong systems background, preferably with experience in one or more of the following areas:
- Operating systems (project 1).
- Distributed systems software.
- Networked systems or control software (project 2).
A background in computer science, computer engineering, or a closely related field is expected. Prior knowledge of quantum information is a plus, but not a requirement.
The successful candidates bring good communication and interpersonal skills, enjoy working in a large multi-disciplinary collaboration, and take ownership of their contribution to the QIA mission. Candidates are expected to visit collaborating institutions in other places of Europe as part of their work.
Requirements
- Master’s degree (or equivalent) in computer science, computer engineering, or a related discipline at the start of the position.
- Demonstrated experience in software systems (e.g. through projects).
- Familiarity with programming in C (project 1) and Python.
- Proficiency in English.
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.
5 sollicitaties
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19-05-2026 TU Delft
PhD Position Scientific Machine Learning, Toward Scientific Foundation Models
Job description
We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods, such as physics-informed neural networks, neural operators (e.g., Fourier Neural Operators) and hybrid physics-ML approaches.
These models are expected to play a significant role in scientific domains and critical applications such as climate and geoscience, as well as the energy sector (for example, subsurface modeling, seismic inversion, climate prediction, renewable energy forecasting, and power grid optimization).
Building on this, the project focuses on the definition, development, and analysis of scientific foundation models: large-scale, generalizable models trained across diverse scientific datasets that aim to capture the underlying principles of physical systems and can be adapted to a wide range of tasks. Within this broad theme, the PhD project can take several possible directions. One direction is to develop scientific foundation models for inverse problems, moving beyond forward simulation toward tasks such as inferring hidden physical parameters, reconstructing unknown states, or identifying governing mechanisms from indirect or partial observations. Other possible directions include developing uncertainty-aware methods that can identify unreliable predictions and indicate where additional data would be most valuable; studying how such foundation models generalize across related but distinct physical settings, such as changes in boundary conditions, geometries, parameters, or forcing terms; and exploring their potential to accelerate or complement conventional numerical simulations.
The successful candidate will join a multidisciplinary research environment at the intersection of machine learning, applied physics, and domain sciences.
Job requirements
To be considered for the position, you will have:
- MSc degree in computer science, artificial intelligence, applied mathematics, applied physics, data science, or a closely related field.
- Good theoretical understanding of the fundamentals of machine and deep learning, with a strong interest in methodological development rather than only implementation and application.
- Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications.
- Strong programming skills (preferably Python).
- Ability to work independently (taking initiative, being organized) and to collaborate effectively.
- Strong ability in research communication and interpersonal communication.
In addition, please note that doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details, please check the Graduate Schools Admission Requirements.
To thrive as a PhD candidate, it’s crucial to 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 complex problems, manage your time effectively, innovate and stay resilient 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 career pave the way for diverse career 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.
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19-05-2026 TU Delft


