[visionlist] Doctoral Project at TU Berlin: “Perception, categorization and synthetization of social responsiveness in human-human and human-robot interaction during learning situations”

[Olaf Hellwich]

Technische Universität Berlin invites applications for a PhD position
for the Cluster of Excellence "Science of Intelligence".

Please apply at

https://www.scienceofintelligence.de/call-for-applications/open-positions/ref-scioi-c3-31b/


*Working Field: Social responsiveness and its effects on learning in
human-human and human-robot interaction*

This interdisciplinary research projects combines research from
educational psychology and computer vision to examine principles of
social responsive teaching behaviors in social learning situations.
Perceiving and appropriately reacting to social cues facilitate
effective knowledge transfer between interaction participants, whether
they be humans or humans and an artificial agent such as a robot. The
main goal of this project therefore is to develop synthetic systems
(robotic teaching assistants) with high-level perceptual capabilities in
social learning situations and, in the course of that, synthetic systems
that are able to simulate social responsive behaviors.


*Doctoral project: “Perception, Categorization and Synthetization of
social responsiveness in human-human and human-robot interaction during
learning situations”*

The project focuses on the identification of teaching behaviors that can
be labeled as ‘social responsive’ in learning situations. We aim to
automatically understand relations between social responsive teaching
behaviors and student engagement, emotion, and cognitive performance in
Human-Human and Human-Robot interaction. One aim is to sensitively
categorize behaviors that define social responsive teaching behaviors,
to synthesize such behaviors and to apply synthesized behaviors in
learning situations using robotic teaching assistants.



*Duties: *

- Conducting experimental research in computer vision
- Analysis of video data to generate algorithms for computer vision
- Automated evaluation of behavior
- Modeling of behavior using representation and reinforcement learning
- Interaction within the SCIoI cluster of excellence
- Compilation of the results for presentations, project reports, and
publications


*Requirements: *Applicants must hold a Diploma/Master’s degree in
Computer Science or related sciences and should have proven
skills/background in following topics:

- profound expertise in computer vision and machine learning
- expertise in robotics and visualization
- excellent mathematical skills,
- in depth programming skills (C/C++, Python, Matlab),
- very good command of English, both written and spoken,
- a keen interest in understanding intelligence,
- the strong communicative skills required for interdisciplinary research,
- a conscientious work approach, flexibility, good time management, and
ability to work in a team


*Application procedure:* Candidates should upload their application
preferably via the portal www.scienceofintelligence.de/jobs
<http://www.scienceofintelligence.de/jobs> in order to receive full
consideration.
Applications should include: motivation letter, curriculum vitae,
transcripts of records (for both BSc and MSc), copies of degree
certificates (BSc, MSc), abstracts of Bachelor-, Master-thesis, list of
publications and one selected manuscript (if applicable), two names of
qualified persons who are willing to provide references, and any
documents candidates feel may help us assess their competence.

-- 
Prof. Dr.-Ing. Olaf Hellwich
Technische Universität Berlin, Computer Vision @ Remote Sensing
MAR 6-5, Marchstr. 23, D-10587 Berlin, Germany
Tel. +49(0)30/314-22796; http://www.cv.tu-berlin.de

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20201109/7d73a8c8/attachment.html>