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 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.
MTYMEX 2021 (virtual) submission deadline extended! Get Scopus indexed publication, global audience, fair recognition and more visibility with EAI | Applications and smart devices for e-health and smart cities | March 22-24, 2021
November 16th, 2020 
Daniela Lopez de Luise
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MTYMEX 2021 (virtual) submission deadline extended! Get Scopus indexed publication, global audience, fair recognition and more visibility with EAI | Applications and smart devices for e-health and smart cities | March 22-24, 2021
November 16th, 2020 Daniela Lopez de Luise
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Industria 4.0, design thinking enlas carreras de Computación – CETI – ANCBA
November 14th, 2020 Daniela Lopez de Luise
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Call for Papers – SENSORNETS 2021 (Special Submission Opportunity)
November 12th, 2020 Daniela Lopez de Luise
Dear Colleague,
SENSORNETS 2021 offers the research community a chance to submit late breaking results, by November 26. This is a hard deadline and will not be extended.
Please check the conference website where you will find all details concerning the interest topics encompassed by this event.
We would like to highlight the fact that all papers presented at SENSORNETS 2021 will be available at SCITEPRESS Digital Library and submitted for indexation by:
SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Conference Proceedings Citation Index.
Finally, it is important to note that the technical program of this international conference may include special sessions, workshops, tutorials and will count on contributions from remarkable distinguished speakers, such as:
Symeon Papavassiliou, National Technical University of Athens, Greece
Fabrizio Granelli, Università degli Studi di Trento, Italy
Looking forward to receiving your paper submission by November 26 .
Kind regards,
Mónica Saramago
SENSORNETS Secretariat
Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel: +351 265 520 185
Web: http://www.sensornets.org
e-mail: sensornets.secretariat@insticc.org