Are you eager to work on the latest challenges in the control of high-tech systems and do you believe that your expertise in the technical sciences is best exploited by researching, analyzing and solving engineering problems in today’s high-tech industrial challenges? Then a research position in the Control Systems group at the Electrical Engineering department at TU/e may be something for you! We are offering an Assistant Professor position in the Control Systems group to strengthen our interdisciplinary team of expert scientists. The position aims at contributing to the development and research of learning methods and control algorithms to enhance and innovate the modeling and performance optimization of autonomous behaving systems in different application areas.
Job Description
Today’s high-tech industry is facing increasing demands on the performance, robustness and safety of engineered systems that consist of many subsystems that are increasingly complex. In achieving performance requirements, the interaction of different physical domains becomes increasingly relevant to describe and predict dynamics of these systems, but also leads to a substantial increase of complexity. This position will develop modelling, control and optimization solutions that are able to cope with system complexity, through decentralized and distributed approaches, while guaranteeing reliable performance of the global system. This includes the development of learning methods for autonomous and adaptive controlled behavior.
For application areas, the position will focus on the electrical engineering domain: multi-physics, electromechanical and optical systems, energy networks and automated industrial production in Smart Industry and high-tech applications. The position is connected to research activities in a laboratory at the university where experimental research is performed.
For more information & application, visit our website: https://jobs.tue.nl/en/vacancy/assistant-professor-in-complexity-in-systems-analysis-and-control-1092099.html