Asst Professor System Identification and Process Control for Multi-physics Systems

A new professor position in mechanical engineering is available at Eindhoven University of Technology. Applications should be submitted as soon as possible.

TU Eindhoven (TU/e) is a mid-size technical university located in the heart of the high-tech industry in the Netherlands, named the Brainport region. Eindhoven is the fifth largest city in the Netherlands, and including suburbs it has about 420,000 inhabitants. TU/e is a highly ranked university both in research and education. Our training and research programs are highly regarded and we foster close relationships with companies, organizations and research institutes in the Brainport region and beyond. Fundamental and applied research are equally valued here. The high rank of the TU/e is due to the impact of its scientific research and also to its scientific copublications with industry. TU/e is a social and inspiring university with a fine culture. You will quickly feel at home, surrounded by people who share your scientific ambitions. The TU/e currently has nine departments, with over 11,000 students in total.

The Department of Mechanical Engineering has been a core part of the university since Eindhoven University of Technology (TU/e) was founded in 1956. Education, research and valorisation are closely linked and belong to the core activities of the department. The research of the Department of Mechanical Engineering is focused on three knowledge pillars: Materials and Mechanics; Energy and Flow; Systems Dynamics and Control.

The scientific staff of the faculty (including more than 150 PhD students and post-docs) is active in several research groups. Because the faculty gives plenty of space for interdisciplinary research, research within these groups is both conceptual and methodological. This distinguishes the Department of Mechanical Engineering at TU/e from other Departments of Mechanical Engineering in the Netherlands.

This vacancy is within the group Control Systems Technology, CST (pillar Dynamics and Control).

merging applications lead to multi-disciplinary control problems that are far more complex than ever before. These include the generation of energy through nuclear fusion as well as green energy through renewable (solar) fuels. Related problems are arising in industry, including thermal and thermal-mechanical systems in lithography and printing systems, but also in medical applications such as hyperthermia. Breakthroughs in modelling, identification, and control technologies are essential to enable accurate operation of such processes, where the multi-physics character (thermal, mechanical, electromagnetic, chemical, biological) and multi-scale (both in space and time) nature of the underlying processes have to be explicitly accounted for. Techniques integrating (multi-)physics white-box modelling and data-based system identification and machine learning are needed to obtain models, often in the form of partial differential equations, to design estimation and (feedback and feedforward) control algorithms enhancing the overall safety (adhering to constraints) and performance of the engineered systems of the future.

The scientific question is how to exploit (model-based) insights into the fundamental properties of the system for systematic analysis and design, leading to a significant increase in the achievable performance. It is clear that the engineering question has a strong interrelationship with the scientific question, in which the former has the role of validation and inspiration for new directions of research.

The Control Systems Technology group of the Department of Mechanical Engineering of the TU/e seeks to hire an outstanding assistant professor, which should play a leading role in addressing these modelling, estimation and control challenges in general and applying them in plasma control, nuclear fusion (tokamaks), future fuels and thermal systems. The successful candidate should hold a PhD degree in mechanical engineering, electrical engineering, systems and control, (applied) mathematics, computer science or physics. Core disciplines that are envisioned to be needed are: Candidates are expected to be experienced in at least one of the core disciplines mentioned above. She/He should have the ambition to contribute to the creation of a strong, internationally renowned research group, while fostering a collaborative network with other academics working on the topic within the department, the university and industry.

The candidate will contribute to the existing BSc program Mechanical Engineering and the MSc programs Mechanical Engineering (ME) and Systems and Control (S&C) within the department. The candidate is expected to be embedded in the Section of Control Systems Technology. See https://www.tue.nl/en/research/research-groups/control-systems-technology/ The candidate has to be a strong networker linking to relevant partners in the Brainport area (http://brainporteindhoven.com) with a particular focus on the connection to DIFFER (Dutch Institute for Fundamental Energy Research, https://www.differ.nl/) regarding control challenges in fusion plasmas and renewable (solar) fuels, TU/e as well as in the international control community. In particular, the candidate will work 20% of his/her time at DIFFER (located at TU/e campus), and a DIFFER researcher will be 20% of the time in the CST group, thereby enabling strong cooperation and cross fertilization between DIFFER and Department of ME, particularly the CST group. Information

More information about this assistant professor position can be obtained from w.p.m.h.heemels[a]tue.nl, +31 40 2472611. For more information regarding recruitment or employment conditions click here or contact Twan Janssen +31 (0)6 20 42 69 61, or E: hiringtalent[a]tue.nl Application

Deadline: As soon as possible
Apply Link:http://tinyurl.com/y6ngdaot

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