1-2 PhD student positions at the Information Coding Division, based at the Department of Electrical Engineering at Linköping University.
Your work assignments
In this WASP financed project, 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.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.