The Division of Systems and Control at the Department of Electrical Engineering at Chalmers is looking for a Doctoral student to become part of their team.
At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas ranging from transport and production systems to communication solutions and biomedical engineering.
You will join a group within the Automatic Control unit of the Systems and Control division focusing on data-driven control methodologies.
About the research project
In many scenarios (arising, e.g., in biomedical systems), performing system identification is challenging due to the system complexity and the limited data-set size; however, often data coming from related, similar scenarios might be available. In view of this, the goal of this project is to advance the theory and practice of multi-task learning. The problem will be framed in the context of kernel-based methods for identification, aiming for a principled representation of task-relatedness; derivation of uncertainty bounds; and a rigorous analysis of learning rates.
What you will do
- Perform research, developing your own scientific concepts and communicating the results verbally and in writing
- Take courses at an advanced level within the Graduate school of Electrical Engineering
- The position generally also includes teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 percent of working hours
- As a WASP student you will also be part of a graduate school network across leading Swedish universities, offering specialized courses for AI, extra training, study visits and conferences broadening your skills.
