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<p>-------- Forwarded Message --------</p>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[DMANET] Ph.D./Post-Doc Positions in RL and MAS at
RUB-Germany</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Sat, 9 Sep 2023 13:43:32 +0200</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>LTS RUB <a class="moz-txt-link-rfc2396E" href="mailto:lts.etit.rub@gmail.com"><lts.etit.rub@gmail.com></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a></td>
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<br>
<br>
The research group “Learning Technical Systems” (head: Prof.
Setareh<br>
Maghsudi) at the Faculty of Electrical Engineering and Information<br>
Technology at Ruhr University Bochum, Germany, has several open
positions<br>
for Ph.D. students and post-docs.<br>
<br>
Our group focuses on core AI/ML research, and, more specifically,
online<br>
decision-making under uncertainty. The area includes
(inverse/deep/causal)<br>
reinforcement learning, multi-armed bandits,<br>
cooperation/competition/coordination in multi-agent systems, and
similar<br>
problems. Our work is generic and applicable in different domains
such as<br>
medicine, education, and finance, while primarily, we focus on
engineering<br>
and technical systems, such as the optimization of communication
networks<br>
and cloud-edge computing platforms, and robotics.<br>
<br>
The research group has recently relocated to the RUB from the
University of<br>
Tübingen. We are searching for talented, knowledgeable, highly
motivated,<br>
friendly, and cooperative individuals to join the team.<br>
<br>
Topics:<br>
<br>
The topics mainly belong to the following areas:<br>
• (Inverse) reinforcement learning and multi-armed bandits<br>
• Multi-agent systems<br>
• Networks management, optimization, and resilience (e.g.,
resource<br>
allocation and signal processing)<br>
<br>
Your Profile:<br>
<br>
• An excellent recent M.Sc. degree in Computer Science (machine
learning<br>
and artificial intelligence), Mathematics (pure/applied
mathematics,<br>
operations research), Electrical Engineering (wireless
communications,<br>
signal processing, information theory), and related fields such as<br>
theoretical physics.<br>
• A solid mathematical background and the
interest/motivation/patience to<br>
work on theoretical problems<br>
• For applicants with a Ph.D.: A strong publication record in top
journals<br>
and conferences; For applicants with an M.Sc. degree: Research
experience<br>
proved by previous publication and/or an excellent M.Sc. thesis.<br>
• Profound programming skills (at least MATLAB or Python,
depending on the<br>
academic background)<br>
• English proficiency, especially in writing<br>
<br>
Additional Information:<br>
<br>
• Competitive salary.<br>
• Part-time is also possible.<br>
• Start date can be negotiated.<br>
• Projects are partially within large consortiums funded by the
Germany<br>
Ministry of Education and Research (BMBF) and German Research
Foundation<br>
(DFG), which enables you to attend project meetings, present your
results<br>
frequently, and build a strong network of collaborators in both
academia<br>
and industry.<br>
• The interviews will be via Zoom.<br>
<br>
Contact Details for Your Application:<br>
<br>
*Please send your application documents in one single PDF file
preferably<br>
before 30.09.2023 to: <a class="moz-txt-link-abbreviated" href="mailto:setareh.maghsudi@ruhr-uni-bochum.de">setareh.maghsudi@ruhr-uni-bochum.de</a><br>
<a class="moz-txt-link-rfc2396E" href="mailto:setareh.maghsudi@ruhr-uni-bochum.de"><setareh.maghsudi@ruhr-uni-bochum.de></a>. Required documents
are: - CV<br>
including the publication list and the contact information of at
least 2<br>
references, - Ph.D. (if applicable) and Master's certificate and<br>
transcripts.*<br>
<br>
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