[Job-offers-cs] Two postdoc positions on Foundations of Data Science, KTH, Sweden

[Pekka Orponen]

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Subject: 	[DMANET] Two postdoc positions on Foundations of Data Science, 
KTH, Sweden
Date: 	Mon, 29 Aug 2022 09:15:32 +0000
From: 	Aristides Gionis <argioni at kth.se>
To: 	dmanet at zpr.uni-koeln.de <dmanet at zpr.uni-koeln.de>



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.

Applications must be made online through the KTH job portal. Full 
position details, including how to apply online can be found at:
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:536703/where:4/>
The deadline for online applications is September 30, 2022.
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