PhD scholarship opportunities

The University of Groningen has opened a call for scholarship PhD projects, see this link for general information.

Of particular interest are the following opportunities in

Data Science and Systems Complexity, see in particular project 14 on Component specifications for control system performance (with Ashish Cherukuri and Arjan van der Schaft);
Engineering, see in particular project 2 on Nonlinear dynamics of analog computing (with Alef Sterk and Arjan van der Schaft).

Please note that the deadline is near (1 April) and that candidates are expected to write their own project proposals. Feel free to contact me in case of questions and/or advice on project proposals on the topics mentioned above.

Research interests

My research interests include:

System theory for nonlinear systems and large-scale interconnected systems (including monotone systems, contraction analysis, compositional analysis)
Model reduction;
Applications in intelligent transportation systems, in particular on control and coordination of heavy-duty vehicle platoons.

Biography

Bart Besselink is assistant professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen. He received his M.Sc. degree (cum laude) in mechanical engineering from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2008. In 2012, he obtained his Ph.D. degree from the same university for his thesis on model reduction techniques for nonlinear control systems. His Ph.D. research was supervised by Prof. Henk Nijmeijer and Prof. Nathan van de Wouw.

In September 2012, Bart was a short-time visiting researcher in the group of Prof. Jun-ichi Imura at the Tokyo Institute of Technology, Tokyo, Japan. Subsequently, and until July 2016, he was as a postdoctoral researcher at the ACCESS Linnaeus Centre and Department of Automatic Control at KTH Royal Institute of Technology, Stockholm, Sweden. There, he worked with Prof. Karl Henrik Johansson and Prof. Henrik Sandberg on model order reduction techniques for large-scale networked systems and intelligent transportation systems.