[iva] Fully Funded PhD positions 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 several Ph.D positions 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

The scientific work will be conducted in the scope of one of the following projects:

- Interactive semi-situated robot learning: this project addresses the challenge of how to enable robots to learn in a scalable and cost-efficient manner by gradually acquiring new knowledge from a non-expert, semi-situated teachers. To achieve this, computational methods will be developed for robots to query the semi-situated teachers (e.g. crowd workers) and incorporate the newly acquired knowledge into their existing decision-making to further use in situ. This project is funded by the Swedish Foundation for Strategic Research.

- Safe human-robot collaboration: this project aims to explore the relationship between safety and perceived safety in human-robot collaboration. Safe systems may not be necessarily be perceived as safe, whereas unsafe systems might be perceived as safe, depending on their type, form, and structure of the feedback provided to the user. Understanding these tradeoffs is vital to good robot design and acceptance. This project is part of a recently established competence center on Trustworthy Edge Computing Systems and Applications (TECoSA) focusing on research paving the way for novel edge computing systems and applications, emphasizing challenges related to safety, security, and predictability.

The starting date for the positions is flexible, but preferably during the fall of 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. More information here:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:332336/where:4/

The application deadline is ** June 23, 2020 **

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

Lindstedtsvägen 24, 4th floor, SE-100 44 Stockholm, Sweden
https://iolandaleite.com

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