Postdoc position at the Information Coding Division, based at the Department of Electrical Engineering at Linköping University.
Work assignments
The research will focus on the study of federated reinforcement learning (FRL) algorithms for closed loop (CL) control of dynamical systems that adhere to safety constraints while enhancing the privacy of individual agent’s local data. Furthermore, the project will aim to enhance the resilience of these algorithms against challenges such as adversarial attacks, system heterogeneity, the random dropout of participating RL agents, and uneven distribution of data across agents. The Postdoc position is funded by WASP.
As a postdoctoral researcher, you are expected to independently drive your own research within the defined broad area. As a researcher, you will also help PhD students in their research, contribute to international research projects, and teach.
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.