[agents] Fully Funded PhD positions in Multimodal ML for Human-Robot Interaction, KTH Royal Institute of Technology, Sweden

[André Tiago Abelho Pereira]

The School of Electrical Engineering and Computer Science (EECS) at the KTH Royal Institute of Technology announces a Ph.D position in Multimodal Machine Learning for Human-Robot Interaction at the division of Speech, Music and Hearing (TMH).

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
In this project the student will design, develop, and evaluate a telepresence platform specifically developed for collecting multimodal data for posterior automation. Unsupervised and supervised multimodal machine learning models alongside multimodal fusion techniques will be explored to evaluate the quality of the telepresence platform. Mixed reality technologies will also be explored for the creation of the telepresence platform as they offer exciting opportunities for data collection (and consequent learning of multimodal models of social behaviour). Users’ mixed reality headsets allow for extracting multiple modalities such as real-time head-pose, eye-gaze information, pupil dilation, and high framerate Point of View (PoV) video data.

This position is partially funded by a project on "Using Neuroimaging Data for Exploring Conversational Engagement in Human-Robot Interaction". This project will leverage a multidisciplinary research collaboration with Julia Uddén from the Linguistics department at Stockholm University where we will aim to study social robotics by exploring the modality of observing underlying neural processes of people that are observing, interacting with, and controlling robots. Understanding these neural processes and how they integrate with other modalities will help us provide contributions to the research areas of Human-Robot Interaction, Artificial Intelligence, Psycho- and Neurolinguistics and Neurobiology of Language.

The starting date is open for discussion, although we would like the successful candidate to start at the beginning of 2022.

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-computer interaction, mixed-reality, neuroscience or machine learning is 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 must be uploaded using KTH's recruitment system. More information here:
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:427059

The application deadline is ** October 15, 2020 **

André Pereira
Researcher
KTH Royal Institute of Technology
School of Electrical Engineering and Computer Science
Division of Speech, Music and Hearing (TMH)

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