The position will investigate the combination of probabilistic machine learning approaches and formal methods from computer science and control theory to devise solutions to problems in the context of multi-agent systems.
Table of Contents
|Scholarship Sponsor||Delft University of Technology|
|Scholarships level||PhD Position|
|Fellowship Period||Five years|
|Opening date||February 24, 2021|
|Closing date||April 05, 2021|
TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence. The HERALD lab is devoted to developing novel computational frameworks to enable AI-based systems to safely and robustly interact with humans and the uncertain environment. Our long-term ambition is to lay a foundation for the development of future automated driving systems which can reliably and beneficially interact with humans while maintaining human responsibility for their operation.
In particular, your research will focus on developing probabilistic data-driven methods for agents to safely interact in a multi-agent system and with the expected performance level. The theoretical results will be applied in the context of autonomous driving to guarantee that automated vehicles can drive and interact safely in mixed urban traffic, i.e., where some of the cars are (entirely) automated, and others are caused by humans.
The deadline for applications is April 05, 2021
- An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, mechanical engineering, transportation engineering or related fields
- Basic knowledge of control systems theory (waived if the candidate is incredibly skilled in theoretical computer science or machine learning)
- Strong analytical skills and an ability to work at the intersection of several research domains, in particular, control systems theory and computer science
- Necessary programming skills in Python, C/C++
- Good command of spoken and written English and good communication skills
Conditions of employment
TU Delft offers DAI-Lab PhD-candidates a 5-year contract with an official goes/no progress assessment after one year. The duration of your employment contract corresponds to the envisaged time of 5 years to complete your Doctoral programme as agreed with you. As a DAI lab PhD candidate, you will be deployed explicitly for AI-related education within the DAI labs programme. Therefore the duration of your employment contract is five years instead of a standard four year PhD contract. The extra year accommodates the additional teaching load about AI, Data and Digitalization education-related activities.
Salary and benefits follow the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3217 in the fifth 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.
TU Delft (Delft University of Technology)
The 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 positively impact a global scale.
Challenge. Change. Impact!
Faculty Mechanical, Maritime and Materials Engineering
The faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in 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.
HERALD lab is a Delft Artificial Intelligence Lab. Artificial Intelligence, Data and Digitalisation are becoming increasingly important when looking for answers to significant scientific and societal challenges. In a DAI-lab, experts inthe fundamentals of AI technology’ and experts in ‘AI challenges’ run a shared lab.
As a PhD, you will work with at least two academic members of staff and three other PhD candidates. In total, TU Delft will establish 24 DAI-Labs, where 48 Tenure Trackers and 96 PhD candidates will have the opportunity to push the boundaries of science using AI. You will be a member of the thriving DAI-Lab community that fosters cross-fertilisation between talents with different expertise and disciplines.
Each team is driven by research questions that arise from scientific and societal challenges and contribute to the development and execution of domain-specific education. You will receive a 5-year contract and will be deployed for AI-related education for the usual teaching effort for PhD students in the faculty plus an additional 20%. The extra year compared to the standard 4-year contract accommodates 20% of other AI, Data and Digitalisation education-related activities. All team members have many opportunities for self-development.
The DAI HERALD lab is led by Luca Laurenti and Arkady Zgonnikov. You will work at the Delft Centre of Systems and Control (DCSC) and will be supervised by Luca Laurenti (System and Control Engineering) and Simeon Calvert (Transportation and traffic engineering).
The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre’s research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The study is motivated by advanced technology development in physical imaging systems, robotics and transportation systems. The group actively participates in the Dutch Institute of Systems and Control (DISC).
For information about this vacancy and the selection procedure, please contact Luca Laurenti, Assistant Professor, email: L.Laurenti@tudelft.nl.
Are you interested in this vacancy? Please apply before April 05, 2021, via the application button and upload the following pdf files:
- 1-page Motivation letter, your CV
- M.Sc. thesis or a paper that you have written, in which you demonstrate your writing skills
- Academic transcripts of both your BSc and MSc degrees
Please highlight in your motivation letter and/or CV examples of projects and achievements that demonstrate your relevant competencies