Assistant/Associate Professor Learning control complex multi-physical systems, Eindhoven University of Technology, The Netherlands
Are you passionate about developing an academic career in systems and control and fascinated by the development of learning and AI-related aspects applied to complex physical systems? Are you eager to work in a challenging international environment, where you are both team member and leader of your own research domain? Do you find inspiration in working with students? Then, you might be the perfect candidate to join the Control Systems (CS) group.
Job Description
In your research you will be developing systems and control methods for complex (multi-)physical dynamical systems, aiming at autonomous and adaptively controlled optimal operations. You preferably connect to developments in data-driven learning and AI, together with involving aspects of large-scale physical modelling and numerical methods.
We look forward to experiencing how you will achieve innovative applications within your research field. We are open to a broad range of technology domains including, but not limited to: smart industries and infrastructures, power networks, high-tech mechatronics and manufacturing, electrical and optical systems, biomedical systems, in cooperation with relevant partners.
As a lecturer you will contribute to teaching and student supervision tasks in the BSc and MSc programs of Electrical Engineering, Systems and Control and/or Artificial Intelligence for Engineering Systems. Additionally, you will act as supervisor of PhD-projects, take an active mentoring role, and execute your research according to internationally recognized standards. Moreover, you will contribute to acquiring funding for research projects from industry and (inter)national research funding agencies.
Within CS we cultivate a cooperative team environment. Maintaining an effective network of cooperation partners in academia, institutes, and industry, and playing an active role in the international scientific community is highly valued.
As a CS staff member, you are part of the national community of DISC (Dutch Institute of Systems and Control).
Department of Electrical Engineering
With almost 100 (assistant, associate and full) professors, over 200 PhD and PDEng students, about 800 Bachelor students and 300 Master students, the Department of Electrical Engineering (EE) is one of the largest departments of the TU/e. By performing top-level fundamental and applied research, offering high-quality educational programs, and maintaining strong ties with industry, EE aims to contribute to science and to innovation in and beyond the region. EE currently offers a Bachelor and Master program in Electrical Engineering and participates in several multi-disciplinary masters, such as Systems and Control, Automotive Technology and Sustainable Energy Technology, all taught fully in English. See here for more information about the department.
The good relationship of the department with the high-tech industry in the Brainport region means that staff and students can contribute directly to the development of technological innovations with real-world relevance. The unique positioning in one of Europe’s leading tech regions also means excellent job opportunities for spouses.
Control Systems group
The research activities of the CS group span all facets of systems and control theory, such as linear, nonlinear and hybrid systems theory, model predictive control, distributed control, machine learning for control, modeling and identification, dynamic networks, and formal methods in control. The CS group has strong connections with the industry via national and European funded projects in a variety of application areas like high-precision mechatronics, power electronics, and sustainable energy (mobility, transport, smart grids). Click here for more detailed information on the activities of the group.
Job requirements
We seek to appoint an academic scientist in the systems and control domain, with expertise in physical modeling, and with active interest in connecting to aspects of learning and AI. The position can be filled at either the tenure track assistant professor or, associate professor level.
Furthermore, we require:
- A PhD degree in a relevant area, with a strong publication record in top journals and conferences.
- Ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.
- Creativity and dedication to (multidisciplinary) collaboration.
- Excellent communication, organization, and leadership skills.
- Strong cooperation skills and the ability to work in a team.
- Excellent proficiency (written and oral) in English. The working language in the department and across the university is English. There is no requirement to speak Dutch when applying for this position.
- Conditions of employment
- A meaningful job in a dynamic and ambitious university with the autonomy to develop your own research line and participate in the curriculum of the department.
- A Tenure Track of five years with the prospect of becoming Associate Professor. After a maximum of four years the tenure decision will be made. If you have a more senior profile, a tailor-made career proposal will be considered.
- You will have free access to high-quality training programs for academic leadership, the university teaching qualification program, research and valorization competences, and a dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
- For women candidates, we include the possibility to become an Irène Curie Fellow. This entitles you to a substantial start-up package to kick-off your career.
- Salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities.
- Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
- A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
- Family-friendly initiatives are in place, such as the Dual Career Opportunity program to support accompanying partners, an international spouse program, and excellent on-campus children day care and sports facilities.
Information and application
Do you recognize yourself in this profile and would you like to know more?
Please contact prof.dr. Siep Weiland, s.weiland[at]tue.nl or, prof.dr.ir. P.M.J. van den Hof, p.m.j.vandenhof[at]tue.nl . Have a look at our lab, click here.
Are you inspired to know more about working at TU/e? Please visit www.tue.nl/jobs.
Application
We invite you to submit a complete application via the university website:
https://jobs.tue.nl/en/vacancy/assistant-associate-professor-learning-control-complex-multiphysical-systems-914844.html
The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae, including a list of your publications and the contact information of three references.
- List of five self-selected ‘best publications’.
- Description of your scientific interests and plans (1-2 pages).
- Statement of your teaching goals and experience (1-2 pages).
We do not respond to applications that are sent to us in a different way.
Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.
