University of Copenhagen, Department of Computer Science

2192 19312Position ID: 2192-TTAPCOMPUTIONALCOMPLEXTHEORY [#19312]
Position Title: Tenure-track assistant professor in computational complexity theory
Position Type: Tenured/Tenure-track faculty
Position Location: Copenhagen, Hovedstaden 2100, Denmark [map]
Subject Areas: computational complexity theory, algorithms, mathematics
Application Deadline: (posted 2021/12/20, listed until 2022/01/30)
Position Description:    

*** the listing date or deadline for this position has passed. ***

Department of Computer Science
Faculty of Science

University of Copenhagen

The position is open from 1 September 2021 or as soon as possible thereafter.

We are looking for an outstanding junior researcher with an innovative mind-set and intellectual curiosity to strengthen and complement the research profile of the Algorithms and Complexity Section at DIKU. This is a world-leading research environment (currently ranked 6th worldwide in algorithms and complexity by, with a strong presence at top-tier conferences like STOC, FOCS, CCC, and SODA, and also with publications in premier AI conferences like AAAI, IJCAI, and NeurIPS. We are home to the Basic Algorithms Research Copenhagen (BARC) centre (, joint with the IT University of Copenhagen, and have extensive collaborations with the Technical University of Denmark (DTU) and with Lund University on the Swedish side of the Øresund Bridge, as well as with our many visitors. We aim to attract top talent from around the world to an ambitious, creative, collaborative, and fun environment. Using the power of mathematics, we strive to create fundamental breakthroughs in algorithms and complexity theory. While the focus in on theoretical research, we do have a track record of surprising algorithmic discoveries leading to major industrial applications.

Read more about the Department at

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Only electronic applications are accepted.

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Contact: Jakob Nordström
Postal Mail:
University of Copenhagen
Universitetsparken 1
DK-2100 Copenhagen Ø
Web Page: