[robotics-worldwide] [jobs] Funded PhD position in Social Robotics, KTH Royal Institute of Technology
The School of Electrical Engineering and Computer Science (EECS) at the KTH Royal Institute of Technology announces a Ph.D position in Social Robotics at the department of Robotics, Perception and Learning (RPL).
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key center of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.
The scientific work will be conducted in the scope of one of the following collaborative projects:
** Gathering Collective Intelligence for Social Robotics. This project investigates whether social robots can learn new social behaviors by pro-actively gathering collective intelligence from a large pool of non-expert users, and incorporating the newly obtained knowledge into their existing decision-making systems. The goal is to investigate crowdsourcing methods for bootstrapping artificial social robot intelligence, as well as understanding the opportunities and limitations of the proposed methods for learning different robot capabilities such as dialogue, nonverbal behavior appropriate to a given context or visual perception.
** Long-term Human-Robot Interaction. This project aims to develop socially autonomous robots that can interact with people over weeks and months in real-world environments such as offices, schools or factories. We explore this from both a computational and a user-centered perspective.
This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH.
The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.
The candidate must have a degree in an area such as Computer Science, Electrical Engineering, Informatics or related fields. Documented written and spoken English and programming skills are required. Experience with social robotics, human-robot interaction, human-computer interaction, machine learning or experimental design is an important asset. Applicants must be strongly motivated for doctoral studies, have the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities.