Delft University of Technology TU Delft The Netherlands - Logo

Deadline Extended – PhD Studies in Human Robots Project – Netherlands

Delft University of Technology (TU Delft)

The Netherlands

TUDelft University, Faculty Electrical Engineering, Mathematics and Computer Science invites PhD studies in Data-Driven Multi-Modal Human-Robot Interaction – Netherlands, Oct 2021.

Support us by Sharing!

Scroll Down for Content

General Info

Position: PhD
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: -
Contract Period: 4 Years
Salary: According to Standard Norms

Faculty of Electrical Engineering, Mathematics & Computer Science
Delft University of Technology (TU Delft)

Scroll Down for Content

Qualification Details

MSc in Computer Science or related field

At least 3 years of programming experience in python (java  or C++is a plus)

Motivation to meet deadlines

Affinity to design and social science research

Responsibilities/Job Description

One of the most pressing matters that holds back robots from taking on more tasks and reach a widespread deployment in society is their limited ability to understand human communication and take situation-appropriate actions. This PhD position is dedicated to addressing this gap by developing the underlying data-driven models that enable a robot to engage with humans in a socially aware manner.

In order to support long-term interaction, robots need rich models of interaction that include their social context and allow them to act appropriately when faced with uncertainty. Humans use a range of verbal and non-verbal cues to regulate their interactions and are able to adapt how they communicate and cooperate to fit the needs and preferences of their interaction partners. Personalization and adaptation is needed to enable robots to assist people with varying backgrounds and abilities.

The successful applicant will develop machine-learning based and knowledge modelling techniques applied to multi-sensor data (video, audio etc.) of human behaviour that address both the complexity of the multi-modal nature of interactions and uncertainty regarding the sensor data and social situation. The applicant will design and run the experiments to evaluate the created hybrid-AI models through human-robot interaction.

Topics of interest:

  1. long-term human-robot interaction
  2. affective computing
  3. NLP&argument-mining
  4. planning & learning for HRI
  5. assistive robotics

The Phd candidate will be supervised by Dr. Frank Broz and Prof. Mark Neerincx, focusing on planning and learning for long-term HRI.

To strengthen the social robotics strand of the Interactive Intelligence Group at TU-Delft there are currently two positions available with potential for collaboration.  When you're interested in the other vacancy please have a look at:

PhD position for Data-Driven Multi-Modal Human-Robot Interaction within DI Lab

How to Apply?

Online Application (or Send email) through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -TUD01410
(If any, use it in the necessary place)

Scroll Down for Content

Documents Required

Interested applicants should include an up-to-date curriculum vitae, letter of motivation and the names and contact information (telephone number and email address) of two references.

The letter of application should summarise (I) why the applicant wants to do a PhD, (II) why the project is of interest to the applicant, (III) evidence of suitability for the job, and (IV) what the applicant hopes to gain from the position

Please apply before October 1, 2021 via the application button.

  • A pre-employment screening can be part of the selection procedure.
  • You can apply online. We will not process applications sent by email and/or post.
  • Acquisition in response to this vacancy is not appreciated.

About the Project/Department

About the Employer: Delft University of Technology (TU Delft)

Note or Other details

Scroll Down for Content

Contact details

For further info on the content of the position please contact Dr. Catharine Oertel: or Dr. Frank Broz:

Advertisement Details: PhD position in Data-Driven Multi-Modal Human-Robot Interaction

Other Vacancies from this field ,

Scroll Down for Content

Support us by Sharing!