PhD Position Improving Symbolic AI through Learning and Reasoning

Job description

While all the headlines are full of AI learning from massivve datasets, in this position you will investigate how can we teach machines to learn from tiny amounts of data. You will investigate how how can we achieve this goal by making AI think like a scientist -- reason about which models and plausible and should be explored. We will build this new approach upon the combination of program synthesis and automated reasoning, and apply it to actual problems from scientific discovery and robotics.

You will join the Algorithmics Group in the Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). You will collaborate with PhD students and postdocs working on program synthesis and automated reasoning, and will have opportunities to co-supervise students. You will be supervised by Prof. Sebastijan Dumancic.

Job requirements
The ideal candidate will be an ambitious, proactive, reflective, and results-driven researcher. We are looking for the following:

• MSc degree in Computer Science and/or Artificial Intelligence (essential)
• prior experience in automated reasoning (essential)
• prior experinece with symbolic machine learning approaches (essential)
• prior experience in applying automated reasoning or machine learning in biology, chemistry, or other naturla sciences (desirable)
• good communication, organisation, and writing skills
• good programming skills and desire to produce usable open-source software

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 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 Improving Symbolic AI through Learning and Reasoning

Job description

While all the headlines are full of AI learning from massivve datasets, in this position you will investigate how can we teach machines to learn from tiny amounts of data. You will investigate how how can we achieve this goal by making AI think like a scientist -- reason about which models and plausible and should be explored. We will build this new approach upon the combination of program synthesis and automated reasoning, and apply it to actual problems from scientific discovery and robotics.

You will join the Algorithmics Group in the Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). You will collaborate with PhD students and postdocs working on program synthesis and automated reasoning, and will have opportunities to co-supervise students. You will be supervised by Prof. Sebastijan Dumancic.

Job requirements
The ideal candidate will be an ambitious, proactive, reflective, and results-driven researcher. We are looking for the following:

• MSc degree in Computer Science and/or Artificial Intelligence (essential)
• prior experience in automated reasoning (essential)
• prior experinece with symbolic machine learning approaches (essential)
• prior experience in applying automated reasoning or machine learning in biology, chemistry, or other naturla sciences (desirable)
• good communication, organisation, and writing skills
• good programming skills and desire to produce usable open-source software

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 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 in Computational Design and Fabrication of Adaptive 3D-Printed Structures

Job description

Many products that support or interact with people need structures that do more than carry loads: they must respond reliably to changing forces and patterns of use. Multi-material additive manufacturing makes it possible to integrate different mechanical and functional behaviours within a single structure. Yet designing structures that combine load-bearing performance with embedded sensing and controlled adaptation remains a major challenge. Addressing it calls for new ways to connect geometry, material behaviour and manufacturing with the needs of people who use the resulting products.

In this PhD, you will develop and investigate computational design approaches for multi-material 3D-printed structures. You will explore how geometry, material distribution, electronics functions and manufacturing parameters can be designed together to achieve desired structural and functional behaviour. You will also design and fabricate prototypes that incorporate sensing and geometry-driven mechanisms for adaptation. Combining computational modelling with hands-on experiments, you will evaluate structural behaviour, sensing performance and durability under static and cyclic loading. You will interpret the results, refine design methods, integrate promising concepts into demonstrators, and communicate your findings through scientific publications and presentations.

Your research will include:

• Developing fabrication-aware computational workflows for lattice geometries and multi-material layouts.
• Designing and making 3D-printed prototypes to investigate load-bearing, sensing and adaptive behaviour.
• Using computational modelling and experiments to evaluate stiffness, deformation, sensing and actuation performance, and durability.
• Integrating and validating concepts in demonstrators, including a wheelchair cushion to evaluate sitting pressure redistribution and user comfort.

You will be part of the Materializing Futures group in the Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, supervised by Dr. Mehmet Özdemir and Dr. Wolf Song. You will have access to the faculty’s digital fabrication facilities and the Comfort Lab, and collaborate with experts in ergonomics, and smart materials, as well as industry partners.

Job requirements
We look for candidates who have:

• A Master’s degree (or equivalent) in Industrial Design Engineering, Mechanical Engineering, Materials Science, or a related field
• Hands-on experience with 3D printing and with building and testing physical prototypes
• Experience with computational or parametric design (e.g. Rhino/Grasshopper, Python)
• Strong interest in combining mechanics, materials, electronics, and human factors, and in research with sound experimental design
• Ability to work in a multidisciplinary team, communicate effectively and take initiative
• Proficiency in written and spoken English

Desirable experience:

Experience with sensors and basic electronics for sensor readout and control (e.g. Arduino), finite element analysis, soft robotics or user studies, and prior publications are assets but not requirements.

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 Industrial Design Engineering
Matching the evolution of people with the speed of the revolution of technology. This is the focus of the Faculty of Industrial Design Engineering (IDE). Delft designers act as a bridge between advances in technology and the needs of people, organisations and society to create products, services and systems with purpose.

IDE is a leader in design research across the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.

In close cooperation with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future.
Click here to go to the website of the Faculty of Industrial Design Engineering.

PhD Position in Computational Design and Fabrication of Adaptive 3D-Printed Structures

Job description

Many products that support or interact with people need structures that do more than carry loads: they must respond reliably to changing forces and patterns of use. Multi-material additive manufacturing makes it possible to integrate different mechanical and functional behaviours within a single structure. Yet designing structures that combine load-bearing performance with embedded sensing and controlled adaptation remains a major challenge. Addressing it calls for new ways to connect geometry, material behaviour and manufacturing with the needs of people who use the resulting products.

In this PhD, you will develop and investigate computational design approaches for multi-material 3D-printed structures. You will explore how geometry, material distribution, electronics functions and manufacturing parameters can be designed together to achieve desired structural and functional behaviour. You will also design and fabricate prototypes that incorporate sensing and geometry-driven mechanisms for adaptation. Combining computational modelling with hands-on experiments, you will evaluate structural behaviour, sensing performance and durability under static and cyclic loading. You will interpret the results, refine design methods, integrate promising concepts into demonstrators, and communicate your findings through scientific publications and presentations.

Your research will include:

• Developing fabrication-aware computational workflows for lattice geometries and multi-material layouts.
• Designing and making 3D-printed prototypes to investigate load-bearing, sensing and adaptive behaviour.
• Using computational modelling and experiments to evaluate stiffness, deformation, sensing and actuation performance, and durability.
• Integrating and validating concepts in demonstrators, including a wheelchair cushion to evaluate sitting pressure redistribution and user comfort.

You will be part of the Materializing Futures group in the Department of Sustainable Design Engineering, Faculty of Industrial Design Engineering, supervised by Dr. Mehmet Özdemir and Dr. Wolf Song. You will have access to the faculty’s digital fabrication facilities and the Comfort Lab, and collaborate with experts in ergonomics, and smart materials, as well as industry partners.

Job requirements
We look for candidates who have:

• A Master’s degree (or equivalent) in Industrial Design Engineering, Mechanical Engineering, Materials Science, or a related field
• Hands-on experience with 3D printing and with building and testing physical prototypes
• Experience with computational or parametric design (e.g. Rhino/Grasshopper, Python)
• Strong interest in combining mechanics, materials, electronics, and human factors, and in research with sound experimental design
• Ability to work in a multidisciplinary team, communicate effectively and take initiative
• Proficiency in written and spoken English

Desirable experience:

Experience with sensors and basic electronics for sensor readout and control (e.g. Arduino), finite element analysis, soft robotics or user studies, and prior publications are assets but not requirements.

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 Industrial Design Engineering
Matching the evolution of people with the speed of the revolution of technology. This is the focus of the Faculty of Industrial Design Engineering (IDE). Delft designers act as a bridge between advances in technology and the needs of people, organisations and society to create products, services and systems with purpose.

IDE is a leader in design research across the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.

In close cooperation with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future.
Click here to go to the website of the Faculty of Industrial Design Engineering.

Project Assistant - Quantum Internet Alliance

Job description
At QuTech, our Quantum Internet Division is advancing the development of quantum technologies that will shape the future of communication. While this position is part of QuTech, the Project Assistant will primarily support the Quantum Internet Alliance (QIA), Europe's flagship initiative to build a global quantum internet.

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/.

We are looking for a Project Assistant to join our team and support the coordination and delivery of activities within QIA. In this role, you will work closely with project managers, researchers, and external partners to help ensure the smooth execution of project operations and events. On a daily basis, you will:

• Provide organizational and administrative support to the QIA coordination team and QIA Project Management team.
• Coordinate QIA internship program.
• Provide support for the communication and outreach activities.
• Provide advice to consortium partners on EU project management processes and reporting requirements.
• Assist in the preparation of financial and progress reports for the European Commission.
• Process financial administration, such as purchase orders, payment requests and new supplier registrations.
• Support QIA's participation in conferences, trade fairs, and outreach events, including exhibition stand coordination.
• Assist with the planning and Organisation of meetings, workshops, and events, from inviting speakers to arranging venues and catering.
• Support the administration of the QIA Technical Forum (QIATF)
• Help maintain project websites and social media channels.
• Coordinate the creation of promotional materials.
• Monitor and manage the general Coordination Team inbox, ensuring requests are dealt with or forwarded in a timely manner.
• Schedule meetings and support meeting preparation, including agendas, documentation, and follow-up actions.
• Maintain and organize project documentation (including Wiki pages).

Job Requirements
We are looking for a motivated Project Assistant with previous experience as a Management Assistant, Team Assistant, Project Assistant, or in a similar administrative or project support role. You are organized, detail-oriented, proactive, and enjoy working in an international environment where no two days are the same.

In addition, you bring experience or an interest in several of the following areas:

• Event Organisation and the coordination of meetings, activities, or projects.
• Social media management, communications, marketing, and outreach activities.
• Graphic design, web design, and the creation of promotional materials.
• Working in an international and collaborative environment.
• Communicating effectively in English, both written and spoken.

What will you gain?

• Strengthen your knowledge of corporate outreach and stakeholder engagement.
• Learn the principles and practice of Agile project management.
• Gain hands-on experience in managing projects funded by the European Commission.
• Work on exciting and challenging topics in a dynamic and highly international environment.

We look forward to receiving applications from all qualified candidates and are committed to creating an inclusive environment that celebrates diversity. We believe in the power of an inclusive organizational culture and think it is important that everyone can be themselves. Whether it concerns age, gender, religion, sexual orientation, cultural background: everyone is welcome!

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.

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.