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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] Open Position: AI/MLOps Research Engineer</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Thu, 23 Dec 2021 06:32:57 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Fredrik Heintz <a class="moz-txt-link-rfc2396E" href="mailto:fredrik.heintz@liu.se"><fredrik.heintz@liu.se></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>
Looking for a new job? Want to help develop the software
infrastructure for the latest AI and machine learning research? We
are looking for a research engineer to my research group (the
Reasoning and Learning Lab) to help develop our MLOps environment
to accelerate our AI research. Be part of one of the most dynamic
AI research groups in Sweden!<br>
<br>
Your tasks will consist of developing a scientific DevOps
environment for supporting a modern research methodology in AI and
machine learning, requiring both computational flexibility and
strong reproducibility on all levels as well as helping
researchers use the platform for experiments and methodology
development. You will be financed by and be part of the strategic
research environment ELLIIT (elliit.se). The project you will work
in is long-term and is funded for 5 years.<br>
<br>
The Reasoning and Learning Lab at Linköping University does
fundamental AI research on algorithms, techniques and methods for
machine reasoning, machine learning, and the integration of
reasoning and learning. We are especially interested in
incremental reasoning and learning such as a stream reasoning and
learning, spatio-temporal reasoning and learning such as learning
and reasoning about trajectories and events/activities,
multi-agent reasoning and learning such as combinatorial
assignment and multi-agent reinforcement learning, and reasoning
and learning for Trustworthy AI such as privacy-preserving
synthetic data generation and run-time verification for safe
autonomous systems.<br>
<br>
Deadline January 24, 2022.<br>
<br>
<a class="moz-txt-link-freetext" href="https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=p17966">https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=p17966</a>><br>
Please spread to relevant people.<br>
If have any questions please get in touch!<br>
<br>
Cheers,<br>
Fredrik<br>
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