PhD Position in Probability Theory and Statistical Physics

Job description

The consortium Emergence at all Scales is the national flag-carrier of the NWA route 2 game changer Dutch Institute for Emergent Phenomena (d-iep.org). EAAS combines 8 Dutch and 1 Ukrainian university as well as Statistics Netherlands (CBS) in an interdisciplinary and collaborative endeavour aimed at understanding emergent phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s 5-year lifetime is equally interdisciplinary, with a wide variety of activities ranging from art/science programmes, large scale science festivals, citizen science and educational initiatives at various levels. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. Within this context we invite interested candidates to apply for the PhD position, and work on the sub-project Emergence of Geometric flows. We particularly encourage women and candidates from other under-represented groups to apply.

The project Emergence of Geometric Flows is at the interface of probability theory, mathematical statistical physics and differential geometry. The aim is to understand how macroscopic dynamics for geometric quantitities such as the Riemannian metric emerge from simple models of dynamic random graphs. The project involves collaborations with Klaas Landsman (maths; Radboud University, Nijmegen), Jo Ellis-Monoaghan (maths; University of Amnsterdam) and Renate Loll (physics; Radboud University, Nijmegen).

Job requirements

• You has a master degree in mathematics or theoretical physics, and has background and interest in the area of mathematical statistical physics, and or interacting particle systems.
• If selected for one of these positions, you are expected to participate in the various scientific activities, meetings and workshops of the EAAS consortium, to form interdisciplinary collaborations across fields and geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching.

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 in Probability Theory and Statistical Physics

Job description

The consortium Emergence at all Scales is the national flag-carrier of the NWA route 2 game changer Dutch Institute for Emergent Phenomena (d-iep.org). EAAS combines 8 Dutch and 1 Ukrainian university as well as Statistics Netherlands (CBS) in an interdisciplinary and collaborative endeavour aimed at understanding emergent phenomena across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s 5-year lifetime is equally interdisciplinary, with a wide variety of activities ranging from art/science programmes, large scale science festivals, citizen science and educational initiatives at various levels. EAAS is hiring a total of 20 PhD/postdoc scientists to join the team, and our project/group leaders share the ambition of gender parity in hires across EAAS. Within this context we invite interested candidates to apply for the PhD position, and work on the sub-project Emergence of Geometric flows. We particularly encourage women and candidates from other under-represented groups to apply.

The project Emergence of Geometric Flows is at the interface of probability theory, mathematical statistical physics and differential geometry. The aim is to understand how macroscopic dynamics for geometric quantitities such as the Riemannian metric emerge from simple models of dynamic random graphs. The project involves collaborations with Klaas Landsman (maths; Radboud University, Nijmegen), Jo Ellis-Monoaghan (maths; University of Amnsterdam) and Renate Loll (physics; Radboud University, Nijmegen).

Job requirements

• You has a master degree in mathematics or theoretical physics, and has background and interest in the area of mathematical statistical physics, and or interacting particle systems.
• If selected for one of these positions, you are expected to participate in the various scientific activities, meetings and workshops of the EAAS consortium, to form interdisciplinary collaborations across fields and geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching.

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.

Research Software Engineer

Job description

The Research Engineering and Infrastructure Team (REIT) is currently looking for candidates to fill one position as a Research (Software) Engineer.

As a Research (Software) Engineer, you will be collaborating with researchers on projects across diverse domains, such as artificial intelligence, intelligent human/agent interactions, bioinformatics, computer graphics and visualizations, software engineering, data management and engineering, information systems, cyber security, high performance computing and embedded systems.

You will typically be working on two research projects simultaneously, with your engagement in projects varying from a few weeks to multi-year collaborations. You will be liaising with researchers to understand their requirements, developing and implementing solutions, while documenting them along the way.

REIT collaborates with all sections at the computer science departments of TU Delft. We are looking for a wide range of skills, for example:

• Planning, designing and implementing software solutions, including HPC, edge, and embedded software
• Implementing, training and deploying machine learning models
• Developing data processing and analysis pipelines, including visualizations
• Web and mobile development
• Promoting best practices for reproducible and open research

As a member of REIT, you will be joining a group of friendly and dedicated professionals with diverse backgrounds. We explicitly encourage our engineers to continuously develop their skills and to explore fields outside their main area of expertise.

This is an exciting time to join the team as we are widening our contribution to the research and teaching community. We constantly strive to find innovative and efficient ways to solve problems and enable high-quality research. At REIT, we welcome candidates who can help shape this vision.

We are looking for a full-time engineer.

Job Requirements
Must have:

• Master or PhD degree in a computer science, mathematics, physics, engineering, or similar
• Fluency in one or more modern programming languages commonly used in research (Python, Julia, C/C++, Rust etc.). Demonstrable use of other programming languages together with a keen interest in learning new languages is also welcome.
• Enthusiasm and ability to rapidly acquire fluency of new technologies and fields.
• Capable of switching focus between different projects and teams (over time)
• An understanding and willingness to keep up to date and implement best practices for software development and analyses (such as version control, issue tracking, automated testing, continuous integration etc.) for reproducible research.
• Experience with developing web applications and interactive visualizations is a plus
• Strong social and communicative skills (in English)
• Team player/experience of working in a team

Experience in one of the following would be a bonus:

• Artificial intelligence
• Data engineering
• Language models, including privacy-preserving large language models
• Machine Learning/ Reinforcement Learning/ Pattern Recognition/ Signal Processing
• Computer Vision, Affective Computing, or Wearable Computing
• Web and mobile development
• Designing and testing embedded systems, including PCB prototyping

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 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.

Research Software Engineer

Job description

The Research Engineering and Infrastructure Team (REIT) is currently looking for candidates to fill one position as a Research (Software) Engineer.

As a Research (Software) Engineer, you will be collaborating with researchers on projects across diverse domains, such as artificial intelligence, intelligent human/agent interactions, bioinformatics, computer graphics and visualizations, software engineering, data management and engineering, information systems, cyber security, high performance computing and embedded systems.

You will typically be working on two research projects simultaneously, with your engagement in projects varying from a few weeks to multi-year collaborations. You will be liaising with researchers to understand their requirements, developing and implementing solutions, while documenting them along the way.

REIT collaborates with all sections at the computer science departments of TU Delft. We are looking for a wide range of skills, for example:

• Planning, designing and implementing software solutions, including HPC, edge, and embedded software
• Implementing, training and deploying machine learning models
• Developing data processing and analysis pipelines, including visualizations
• Web and mobile development
• Promoting best practices for reproducible and open research

As a member of REIT, you will be joining a group of friendly and dedicated professionals with diverse backgrounds. We explicitly encourage our engineers to continuously develop their skills and to explore fields outside their main area of expertise.

This is an exciting time to join the team as we are widening our contribution to the research and teaching community. We constantly strive to find innovative and efficient ways to solve problems and enable high-quality research. At REIT, we welcome candidates who can help shape this vision.

We are looking for a full-time engineer.

Job Requirements
Must have:

• Master or PhD degree in a computer science, mathematics, physics, engineering, or similar
• Fluency in one or more modern programming languages commonly used in research (Python, Julia, C/C++, Rust etc.). Demonstrable use of other programming languages together with a keen interest in learning new languages is also welcome.
• Enthusiasm and ability to rapidly acquire fluency of new technologies and fields.
• Capable of switching focus between different projects and teams (over time)
• An understanding and willingness to keep up to date and implement best practices for software development and analyses (such as version control, issue tracking, automated testing, continuous integration etc.) for reproducible research.
• Experience with developing web applications and interactive visualizations is a plus
• Strong social and communicative skills (in English)
• Team player/experience of working in a team

Experience in one of the following would be a bonus:

• Artificial intelligence
• Data engineering
• Language models, including privacy-preserving large language models
• Machine Learning/ Reinforcement Learning/ Pattern Recognition/ Signal Processing
• Computer Vision, Affective Computing, or Wearable Computing
• Web and mobile development
• Designing and testing embedded systems, including PCB prototyping

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 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 SmartWeave: A textile sensor for the monitoring of sweat metabolites

Job description
Patients with chronic conditions regularly need to visit the hospital for check-up and the taking of a blood sample. This is not only burdensome for the patient but the lab analyses are time consuming and expensive. In this project we develop a smart armband which analyses sweat continuously and unobtrusively during everyday activities. This can be achieved by weaving the sensors into the material and using a small clip-on electronics unit. With that we can help patients with a bipolar disorder taking lithium as medication but it can also be used to monitor other metabolites like glucose or to detect dehydration.

As a PhD student at the faculty of Industrial Design Engineering of TU Delft you will develop a coating machine for applying uniform layers of ion sensitive coatings on carrier yarns and test and optimize the performance of these yarns when exposed to different types of ions. You will furthermore integrate these yarns in a textile structure that takes care of the sweat absorption and transport and protects the sensors.

In the final year of the project, the sensor bands will undergo testing with patients in collaboration with the Leiden University Medical Center (LUMC). You will work in close cooperation with a postdoc at the Bioelectronics section of the Electrical Engineering faculty at TU Delft.

Job requirements

• You hold a Master’s degree in chemical engineering, electrical engineering, or another relevant field related to electrochemical sensors and human health monitoring
• You have the social skills to deal with many stakeholders, from fellow academics to patients.
• You have experience with analysis of sensor data
• You have an affinity for patient care and are able to communicate with patients
• You have a good command of written and spoken English

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 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.