Efficient Learning of Dynamical Systems

WASP PhD Project Proposal

Supervisor: Bo BernhardssonDepartment of Automatic Control

Contact info: Phone +46 46 2228786, Email:

Short project description: “The project aims to develop methods that learn complex dynamical models through algorithms that actively explore the behavior of the system. The key challenge is to trade the cost of “exploration” with the future benefits from the resulting improved knowledge. This area, sometimes named “dual control theory”, is now vitalized from recent progress in machine learning and statistical estimation. There is also an increased number of exciting applications where the problem is central, such as in self-driving vehicles and self-learning robots. The applicant should have an interest to work cross-disciplinary in the areas of control theory, signal processing, machine learning and statistics.

The Research Group

You will be a member of an  internationally renowned research group. The research at the Department of Automatic Control is described here. You can also have a look at the Activity Reports available here. Your research topic has many connections to other disciplines as mathematics, signal processing and computer science, and you are encouraged to work cross-disciplinary and take advantage of the creative research environment available at Lund University.  

If you want to get a feeling of what our PhD students do after finishing, you could have a look at our page of Alumni here.

Being a WASP PhD Student at Automatic Control

As a WASP academic PhD student, you are hired by Lund University as a normal PhD student and enjoy the usual employment benefits. As a PhD student in Automatic Control you devote 50% of your time on research, 30% on coursework (90 credits in total), and 20% on teaching. For a list of PhD courses that have been given at our department, see this page.

Being a WASP PhD student, you are also a member of  the nation-wide WASP Graduate School, which arranges summer schools, winter conferences, and international study trips. WASP also arranges three core courses that all WASP PhD students are expected to follow: Autonomous Systems (12 credits), Software Engineering and Cloud Computing (6 credits), and Autonomous Systems Project Course (6 credits). Since the WASP graduate school have a large number of industrial PhD students you also have the opportunity to grow a good industrial network. You also have the possibility to spend one semester at a university abroad.


Apply at no later than June 1.