[iva] Fully Funded PhD position in Social Robotics, KTH Royal Institute of Technology

[Iolanda Leite]

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 division of Robotics, Perception and Learning (RPL).

ABOUT KTH

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.

PROJECT DESCRIPTION

As robots move out of the laboratory to be deployed in the real world over long periods of time, there will be situations in which they will inevitably fail. These failures can be critical because they require costly human intervention and can cause users to lose trust and decline the robot’s assistance. The social environment that the robot is immersed can cause one subset of failures that we define as a social failure. With the ultimate goal of deploying robots in real-world social environments, this project aims to develop novel methods and software for recognizing, recovering from and anticipating social failure in Human-Robot Interaction (HRI).

This position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program that provides a platform for academic research and education, fostering interaction with Sweden’s leading companies.

The starting date is open for discussion, but no later than January 2020.

QUALIFICATIONS

The candidate must have a degree in Computer Science or related fields. Documented written and spoken English and programming skills are required. Experience with robotics, human-robot interaction, human-computer interaction, and machine learning are important.

HOW TO APPLY

The application should include:

1. Curriculum vitae.
2. Transcripts from University/College.
3. Brief description of why the applicant wishes to become a doctoral student.

The application documents should be uploaded using the KTH's recruitment system:

https://www.kth.se/en/api/2.61673/what:job/jobID:274511/where:4/

The application deadline is ** September 13, 2019 **

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Iolanda Leite
Assistant Professor
KTH Royal Institute of Technology
School of Electrical Engineering and Computer Science
Division of Robotics, Perception and Learning (RPL)

Teknikringen 33, 4th floor, room 3424, SE-100 44 Stockholm, Sweden
Phone: +46-8 790 67 34
https://iolandaleite.com



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