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At the University of Hamburg, Dept of Informatics, Knowledge
Technology, we are looking for applications for a research associate
in neural knowledge technology for intelligent robotic systems. <br>
<br>
Topic: MoreSpace: Modeling of a Robot’s Peripersonal Space and Body
Schema for Adaptive Learning and Imitation<br>
Salary level: 13 TV-L<br>
Start date: 1. August 2022 or as soon as possible, for a period of
three years<br>
Application deadline: 10 June 2022 <br>
<br>
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{page:WordSection1;}</style>This novel exciting project MoreSpace
concentrates on research, design, development and evaluation of
neurocomputational deep learning methods for intelligent robot
assistants to explore human-robot interaction. In particular the
project MoreSpace includes research into modeling a robot’s
peripersonal space and body schema for adaptive learning and
imitation. Our research questions focus on a) adaptive
decision-making with conflicting sensations and b) on self-other
transfer and imitation learning. We will develop a novel
conflict-driven attention mechanism by considering psychological
phenomena that involve conflicting sensations. Furthermore, we
will develop learning from observation by developing a projection
mechanism to map an observer’s body schema to an observed agent.
We expect the resulting framework to improve the capabilities of
robotic agents to handle conflicting sensor data and to improve
human-robot interaction scenarios in the context of the different
morphologies of the NICO and NICOL robots. Our experiments will
take place in a table-top scenario and mainly involve object
manipulation experiments, including block-stacking and tool-use
tasks. Together with our collaborators, we will first conduct
robot-robot interaction and later human-robot-interaction
experiments. More info about the MoreSpace project and our
research at <a class="moz-txt-link-freetext"
href="https://www.inf.uni-hamburg.de/en/inst/ab/wtm/research.html"
moz-do-not-send="true">https://www.inf.uni-hamburg.de/en/inst/ab/wtm/research.html</a><br>
</p>
<br>
Requirements:<br>
An advanced university degree in a relevant field related to the
research topic above. Preference will be given to candidates with a
completed PhD in Computer Science or being at an advanced level
towards it with specialization in artificial intelligence,
intelligent robotics and neural networks. We expect experience in
machine learning technology and programming skills in Python and
PyTorch. Experience with robots, robotic simulators and robotic
systems is an advantage. Your demonstrated research experience and
international-level publications should be in some of the areas of
Neural Networks, Robotics, Machine Learning, Vision or Natural
Language Processing. Very good communication skills in English and
in German desired.<br>
<br>
For further information, please contact Prof. Dr. Stefan Wermter (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:stefan.wermter@uni-hamburg.de" moz-do-not-send="true">stefan.wermter@uni-hamburg.de</a>)
or consult our website at <a class="moz-txt-link-freetext"
href="https://www.informatik.uni-hamburg.de/wtm/"
moz-do-not-send="true">https://www.informatik.uni-hamburg.de/wtm/</a><br>
<p>Applications should include a cover letter, a tabular curriculum
vitae, and copies of degree certificate(s). For more details on
how to apply please go to:</p>
<a class="moz-txt-link-freetext"
href="https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=6da75f67a01decbaeed7f9b7811c48df176e680f"
moz-do-not-send="true">https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=6da75f67a01decbaeed7f9b7811c48df176e680f</a><br>
<p>Please pass on to a qualified candidate.<br>
</p>
<br>
***********************************************<br>
Professor Dr. Stefan Wermter<br>
Director of Knowledge Technology<br>
Department of Informatics<br>
University of Hamburg<br>
Vogt-Koelln-Str. 30<br>
22527 Hamburg, Germany<br>
<br>
Email: stefan dot wermter AT uni-hamburg.de<br>
<a class="moz-txt-link-freetext"
href="https://www.informatik.uni-hamburg.de/WTM/"
moz-do-not-send="true">https://www.informatik.uni-hamburg.de/WTM/</a><br>
***********************************************<br>
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