Doctoral student in Interpretable and Experience-Driven Learning for Collaborative Robots

We are looking for a highly motivated doctoral student to pursue a PhD at the intersection of Interpretable Artificial Intelligence, experience-based learning, and Human-Robot Collaboration (HRC).

Join us to take by developing interpretable, experience-driven AI that helps robots learn, adapt, and collaborate safely with people. 

About us 

At the department of , 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.

The Division of Systems and Control conducts interdisciplinary research in automatic control, automation, and mechatronics, in close collaboration with industry an...