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<p>EU Project: GREET – Generative Explainability and Transparency in
Proactive Cyber-Physical Environments (Doctoral Network, EU MSCA
Project)</p>
Institution: University of Hamburg, Department of Informatics,
Knowledge Technology<br>
Salary level: salary in accordance with the attractive EU MSCA
Doctoral Network regulations for doctoral candidates ( <a
href="https://ec.europa.eu/research/mariecurieactions/sites/mariecurie2/files/msca-itn-fellows-note_en_v2.pdf"
target="_blank"><strong>standard rates</strong></a><strong> </strong>for
MSCA regulations ).<br>
Start date: as soon as possible, fixed for 3 years <br>
<br>
The Knowledge Technology Research Group at the University of Hamburg
invites applications for two Doctoral Candidate Research Associates
(PhD students) within the prestigious MSCA Doctoral Network "GREET"
where we will build a framework for an explainable proactive
learning engine for smart robotic care home scenarios. The Doctoral
Network GREET consists of 13 institutions including universities,
research institutions and industry partners.<br>
<br>
The research area for the two Doctoral Research Associates is neural
network learning, intelligent robotics and explainability in
artificial intelligence and is coordinated by the University of
Hamburg (Prof Wermter, Dr Weber). The two research positions will be
filled in the context of proactive neural learning for interactive
cognitive robots. The researchers will develop research on the
following topics:<br>
<br>
Researcher 1: Proactive learning engine, based on a hybrid neural
approach for building world models in smart home<br>
Researcher 2: Generative AI and Explainability for the proactive
learning engine<br>
<br>
The successful candidates will receive a salary in accordance with
the MSCA for Doctoral Candidates. The exact (net) salary will be
confirmed upon appointment and is dependent on local tax regulations
and on the country correction factor (to allow for the difference in
cost of living in different EU Member States). The salary includes a
living allowance, a mobility allowance and a family allowance (if
applicable). Furthermore, GREET will offer joint scientific research
trainings, transferable skills workshops, and fund travel to
international conferences to present papers.<br>
<br>
Your Profile: A university degree in a relevant field. In
particular, an MSc or equivalent in Artificial Intelligence,
Computer Science, Robotics or Engineering with a focus on
Intelligent Systems, Intelligent Robotics or Neural Networks is
required. Excellent programming skills (some of Python, C++,
PyTorch, Machine Learning Frameworks, ROS etc.) are needed and
demonstrated expertise in at least one of neural networks or
intelligent robotics is needed for these positions. Prior
publication in a relevant AI conference is an advantage. Excellent
English communication skills are an important requirement and if
available English test certificates are welcome to be included in
the online application file.<br>
<br>
The posts involve substantial traveling within Europe. Each PhD
student will be expected to spend several secondments at other
partner sites and travel to international conferences. According to
EU mobility rules, the doctoral researchers must not have resided or
carried out their main activity (work, studies, etc.) in Germany for
longer than 12 months in the 3 years immediately prior to their
recruitment. In your CV add explicit details about where you resided
or carried out your main activity (work, studies, etc.) in the three
years immediately prior to the application deadline. Applicants who
already have a doctoral degree are not eligible.<br>
<p>Please forward to potentially interested finished MSc students. </p>
<p>For more details and on how to apply please go to: <br>
</p>
<p><a class="moz-txt-link-freetext" href="https://www.inf.uni-hamburg.de/en/inst/ab/wtm/about/job/open-associate-greet-position.html">https://www.inf.uni-hamburg.de/en/inst/ab/wtm/about/job/open-associate-greet-position.html</a></p>
<br>
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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/">https://www.informatik.uni-hamburg.de/WTM/</a><br>
<a class="moz-txt-link-freetext" href="https://www.informatik.uni-hamburg.de/~wermter/">https://www.informatik.uni-hamburg.de/~wermter/</a><br>
<a class="moz-txt-link-freetext" href="https://www.inf.uni-hamburg.de/en/inst/ab/wtm/publications.html">https://www.inf.uni-hamburg.de/en/inst/ab/wtm/publications.html</a><br>
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