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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Two postdoc positions on Foundations of Data
Science, KTH, Sweden</td>
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<td>Mon, 29 Aug 2022 09:15:32 +0000</td>
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<td>Aristides Gionis <a class="moz-txt-link-rfc2396E" href="mailto:argioni@kth.se"><argioni@kth.se></a></td>
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<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a> <a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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We are looking for 2 postdoctoral researchers in the area of
foundations of data science. The positions are in a research team
in KTH led by professor Aristides Gionis. The team focuses on
developing novel methods to extract knowledge from data, modeling
large-scale complex systems, and exploring new application areas
in data science. Areas of interest include but are not limited to
models and algorithms for knowledge discovery, novel algorithmic
and statistical techniques for big data management, optimization
for machine learning, analysis of information and social networks,
fairness, accountability, and transparency in learning systems.
Applicants must have a strong interest in the development of the
underlying theory, applications, and methods to distill knowledge
from large complex datasets. The advertised positions are funded
by Wallenberg AI, Autonomous Systems and Software Program (WASP),
Sweden's largest individual research program, and by an ambitious
5-year European Research Council (ERC) Advanced Grant titled
REBOUND, which aims to study the phenomena of polarization and
echo chambers in online media, and develop methods to mitigate
these phenomena. Funding is also provided by H2020 European
project SoBigData++. The postdoc positions involve individual and
collaborative research, participation in research projects, and
interaction with faculty, postdocs, and students. Opportunities to
enhance important skills, such as research leadership, teaching,
and grant-proposal writing, will also be given.<br>
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Applications must be made online through the KTH job portal. Full
position details, including how to apply online can be found at: <br>
<a class="moz-txt-link-freetext" href="https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:536703/where:4/">https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:536703/where:4/</a>><br>
The deadline for online applications is September 30, 2022.<br>
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