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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