PhD Position on Learning-based cooperative multi-agent control

In this PhD project we will develop a framework for multi-agent learning aimed at cooperative control of a group of autonomous systems. More specifically, we address two challenges: (1) developing efficient methods for multi-agent learning in the presence of operational constraints, uncertainty, and at a later stage also memory and communication constraints, and (2) integration of the developed approaches with model-based (multi-level) control for increased performance. In the research we will focus in two classes of systems: linear systems and hybrid systems (in particular piecewise affine systems).

The project has a strong fundamental flavor. In addition, applications for the case studies include mapping and control of multiple autonomous underwater robots (this also includes dealing with the limited capabilities and constraints of underwater communication).

The PhD project is related to two ongoing European projects: the European ERC Advanced Grant project CLariNet, which aims at creating a completely new paradigm for control of large-scale net-works with hybrid dynamics by bridging the gap between optimization-based control and learning-based control, and the SeaClear project, which aims at developing a solution for marine litter detection and removal using autonomous underwater robots.

We offer the opportunity to do scientifically challenging research in a multi-disciplinary research group. The PhD student will also be able to participate in the research school DISC (https://www.disc.tudelft.nl).

The department Delft Center for Systems and Control (DCSC) of the faculty Mechanical, Maritime and Materials Engineering, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, renewable energy, robotics and transportation systems.  

We are looking for a candidate with an MSc degree in systems and control, applied mathematics, computer science, electrical engineering, or a related field, and with a strong background or interest in machine learning, optimization, and control. The candidate is expected to work on the boundary of several research domains. A good command of the English language is required.

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 .

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2443 per month in the first year to € 3122 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

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 and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

The Faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in the field of mechanical engineering. From large-scale energy storage, medical instruments, control technology and robotics to smart materials, nanoscale structures and autonomous ships. The foundations and results of this research are reflected in outstanding, contemporary education, inspiring students and PhD candidates to become socially engaged and responsible engineers and scientists. The faculty of 3mE is a dynamic and innovative faculty with an international scope and high-tech lab facilities. Research and education focus on the design, manufacture, application and modification of products, materials, processes and mechanical devices, contributing to the development and growth of a sustainable society, as well as prosperity and welfare.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering. Do you want to experience working at our faculty? This video will introduce you to some of our researchers and their work.

For more information about this vacancy, please contact Prof. Bart De Schutter, [email protected] .

For information about the application procedure, please contact Hilma Bleeker, HR advisor, [email protected] .    

Are you interested in this vacancy? Please apply before May 31, 2022 via the application button and upload:

your letter of application along with a detailed curriculum vitae, a motivation why the pro-posed research topic interests you, a list of publications (if applicable), the abstract and/or summary of your MSc thesis, your BSc and MSc course program and the corresponding marks, names and addresses of two to three reference persons, and all other information that might be relevant to your application.

The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.    

In this PhD project we will develop a framework for multi-agent learning aimed at cooperative control of a group of autonomous systems. More specifically, we address two challenges: (1) developing efficient methods for multi-agent learning in the presence of operational constraints, uncertainty, and at a later stage also memory and communication constraints, and (2) integration of the developed approaches with model-based (multi-level) control for increased performance. In the research we will focus in two classes of systems: linear systems and hybrid systems (in particular piecewise affine systems).

The project has a strong fundamental flavor. In addition, applications for the case studies include mapping and control of multiple autonomous underwater robots (this also includes dealing with the limited capabilities and constraints of underwater communication).

The PhD project is related to two ongoing European projects: the European ERC Advanced Grant project CLariNet, which aims at creating a completely new paradigm for control of large-scale net-works with hybrid dynamics by bridging the gap between optimization-based control and learning-based control, and the SeaClear project, which aims at developing a solution for marine litter detection and removal using autonomous underwater robots.

We offer the opportunity to do scientifically challenging research in a multi-disciplinary research group. The PhD student will also be able to participate in the research school DISC (https://www.disc.tudelft.nl).

The department Delft Center for Systems and Control (DCSC) of the faculty Mechanical, Maritime and Materials Engineering, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, renewable energy, robotics and transportation systems.  

We are looking for a candidate with an MSc degree in systems and control, applied mathematics, computer science, electrical engineering, or a related field, and with a strong background or interest in machine learning, optimization, and control. The candidate is expected to work on the boundary of several research domains. A good command of the English language is required.

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 .

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2443 per month in the first year to € 3122 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

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 and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact!

The Faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in the field of mechanical engineering. From large-scale energy storage, medical instruments, control technology and robotics to smart materials, nanoscale structures and autonomous ships. The foundations and results of this research are reflected in outstanding, contemporary education, inspiring students and PhD candidates to become socially engaged and responsible engineers and scientists. The faculty of 3mE is a dynamic and innovative faculty with an international scope and high-tech lab facilities. Research and education focus on the design, manufacture, application and modification of products, materials, processes and mechanical devices, contributing to the development and growth of a sustainable society, as well as prosperity and welfare.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering. Do you want to experience working at our faculty? This video will introduce you to some of our researchers and their work.

For more information about this vacancy, please contact Prof. Bart De Schutter, [email protected] .

For information about the application procedure, please contact Hilma Bleeker, HR advisor, [email protected] .    

Are you interested in this vacancy? Please apply before May 31, 2022 via the application button and upload:

your letter of application along with a detailed curriculum vitae, a motivation why the pro-posed research topic interests you, a list of publications (if applicable), the abstract and/or summary of your MSc thesis, your BSc and MSc course program and the corresponding marks, names and addresses of two to three reference persons, and all other information that might be relevant to your application.

The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.