Assistant Professor - Supervisory Control for Complex System

Do you want to join us in making key contributions to future societal challenges by developing your own research line? We believe engineered systems and their control are essential to address these future societal challenges in a large range of domains where we are active in, including health, mobility, energy, manufacturing, and food. The increasing complexity of these systems requires systematic design, modelling, optimization, and control to improve their performance, monitor their health for maintenance, and allow interaction between systems as well as their users.

Who are we? We are the Control Systems Technology (CST) section of the department of Mechanical Engineering (TU/e), where we address these challenges every day combining excellence in research and teaching, teamwork, and individual career paths and a lot of fun in the process of improving the world around us. The CST section is among the largest and high-impact research centres in control globally, where both fundamental and applied research are performed at the highest level. Current research lines include model-based engineering of supervisory control, control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine learning, systems engineering, as well as mechanical design. Applications are often done in close collaboration with industry, where the CST section is uniquely positioned in a key high-tech region (Brainport Eindhoven). Application areas include manufacturing systems, mechatronic and motion systems, robotics, autonomous vehicles and mobility, smart medical devices, energy systems including nuclear fusion, thermal therapies, and agrofood.

The CST section currently consists of a diverse and committed team of 29 full-time and parttime staff members and 50+ post-doc and PhD researchers. The section currently consists of 8 Principal Investigators (PIs), who are responsible for specific scientific research lines and act as mentor for tenure-track researchers, with the aim to promote teamwork and individual growth of tenure-track researchers into Principal Inversitigators. This position will start immediately at the tenure-track level, where the candidate will have a mentor to guide him/her to build a leading research line in her/his discipline, while at the same time has a unique opportunity to enrichen her/his research with close collaborations with researchers within the section, as well as outside within our unique ecosystem. Our vision is that high-quality research and teaching are strongly connected, and teaching activities are therefore strongly connected to the envisioned research lines.

To strengthen our team we have an open tenure-track assistant professor position in the area of Supervisory Control of Complex Systems in the CST section with the aim to address future challenges in emerging application areas including high-tech systems, manufacturing systems, safety-critical systems (examples are robotics, precision agriculture, medical systems, transportation systems, infrastructural systems) through advancing the field of Supervisory Control. Breakthroughs in model-based engineering, data-driven learning, optimization, and control technologies are essential to enable accurate operation of future engineered systems.

The candidate will be given the opportunity to build a strong network to relevant partners in the Brainport area .