Postdoc Researcher in AROMA Project

Job description

Overview:

Reducing alcohol content in beverages without compromising flavour remains a major scientific and industrial challenge. Alcohol plays a key role in flavour perception and aroma release, and its reduction fundamentally alters the sensory experience of beverages such as beer, wine, and spirits. Understanding and predicting these changes requires new computational approaches that link molecular composition and human sensory perception.

TU Delft, as part of the national Big Chemistry initiative and the AROMA consortium, offers a post-doctoral position focused on developing data-driven models in this field. The post-doctoral candidate will work at the interface of machine learning, cheminformatics, and sensory science, in close collaboration with academic and industrial partners.

Methodological Approach:

The postdoctoral researcher will develop and apply state-of-the-art machine learning techniques, including, representation learning and graph-based approaches for molecular data. A strong emphasis is also placed on iterative testing of the models.

Environment and Training:
The position will be part of the Delft Bioinformatics Lab, which is part of the Department of Intelligent Systems within the Faculty of Electrical Engineering, Mathematics and Computer Science. In the position it is expected to manage multiple academic and industrial consortium members and to contribute to the academic lab environment in Delft. The research environment and tasks will be tailored to provide a unique training opportunity for the post-doctoral candidate.

Candidate Profile

We seek highly motivated candidates with a PhD in computer science or a related field, and a strong interest in flavour applications. Experience in graph machine learning, geometric machine learning, and high-dimensional molecular data analysis is required. Ideal candidates are curious, independent, and excited to tackle complex, interdisciplinary research questions.

Start-date: Beginning to mid-March

Job requirements

• PhD in Computer Science
• Strong background in graph-based machine learning
• Strong background in geometric machine learning
• Experience with high-dimensional molecular data analysis
• Strong interest in flavour applications
• Strong analytical thinking and problem-solving skills
• Interest in supporting the growth of an academic lab and contributing to education
• Intellectual curiosity, independence, and motivation to tackle open-ended problems with real-world impact
• Excellent interpersonal and communication skills
• Excellent in working independent and collaboratively in an interdisciplinary team

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.

Postdoc Researcher in AROMA Project

Job description

Overview:

Reducing alcohol content in beverages without compromising flavour remains a major scientific and industrial challenge. Alcohol plays a key role in flavour perception and aroma release, and its reduction fundamentally alters the sensory experience of beverages such as beer, wine, and spirits. Understanding and predicting these changes requires new computational approaches that link molecular composition and human sensory perception.

TU Delft, as part of the national Big Chemistry initiative and the AROMA consortium, offers a post-doctoral position focused on developing data-driven models in this field. The post-doctoral candidate will work at the interface of machine learning, cheminformatics, and sensory science, in close collaboration with academic and industrial partners.

Methodological Approach:

The postdoctoral researcher will develop and apply state-of-the-art machine learning techniques, including, representation learning and graph-based approaches for molecular data. A strong emphasis is also placed on iterative testing of the models.

Environment and Training:
The position will be part of the Delft Bioinformatics Lab, which is part of the Department of Intelligent Systems within the Faculty of Electrical Engineering, Mathematics and Computer Science. In the position it is expected to manage multiple academic and industrial consortium members and to contribute to the academic lab environment in Delft. The research environment and tasks will be tailored to provide a unique training opportunity for the post-doctoral candidate.

Candidate Profile

We seek highly motivated candidates with a PhD in computer science or a related field, and a strong interest in flavour applications. Experience in graph machine learning, geometric machine learning, and high-dimensional molecular data analysis is required. Ideal candidates are curious, independent, and excited to tackle complex, interdisciplinary research questions.

Start-date: Beginning to mid-March

Job requirements

• PhD in Computer Science
• Strong background in graph-based machine learning
• Strong background in geometric machine learning
• Experience with high-dimensional molecular data analysis
• Strong interest in flavour applications
• Strong analytical thinking and problem-solving skills
• Interest in supporting the growth of an academic lab and contributing to education
• Intellectual curiosity, independence, and motivation to tackle open-ended problems with real-world impact
• Excellent interpersonal and communication skills
• Excellent in working independent and collaboratively in an interdisciplinary team

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 Dynamic Game Theoretic Control for Constrained Systems

Job description
The candidate will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. The research will develop and build upon tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport.

Potential application areas include distributed power systems, multi-vehicle automated driving and human-machine collaboration.

The position is in the context of the research project “Data driven Game theoretic Control for Constrained Systems” (ARGON), funded by the European Research Council (ERC)

Teaching activities are part of your PhD trajectory and may include, for example:

supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD.

Job requirements
I am looking for 1 talented, outstanding PhD researcher with an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field, with background and/or interest in Systems and Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

PhD Position Game Theory and Multi-Agent Optimization for Complex Systems

Job description
The candidate will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. The research will develop and build upon tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport.

Potential application areas include distributed power systems, multi-vehicle automated driving and human-machine collaboration.

The position is in the context of the research project “Data driven Game theoretic Control for Constrained Systems” (ARGON), funded by the European Research Council (ERC)

Teaching activities are part of your PhD trajectory and may include, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD.

Job requirements
I am looking for 1 talented, outstanding PhD researcher with an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field, with background and/or interest in Systems and Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

PhD Position Dynamic Game Theoretic Control for Constrained Systems

Job description
The candidate will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. The research will develop and build upon tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport.

Potential application areas include distributed power systems, multi-vehicle automated driving and human-machine collaboration.

The position is in the context of the research project “Data driven Game theoretic Control for Constrained Systems” (ARGON), funded by the European Research Council (ERC)

Teaching activities are part of your PhD trajectory and may include, for example:

supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD.

Job requirements
I am looking for 1 talented, outstanding PhD researcher with an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or related field, with background and/or interest in Systems and Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Mechanical Engineering
From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.