Tenure-track assistant professor in computational complexity theory

Department of Computer Science, University of Copenhagen
Copenhagen, 2100
  • Job Type
    Employee
  • Job Status
    Full Time
  • Jobs Rated
    3rd

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 CSrankings.org), 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 (https://barc.ku.dk/), 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 http://www.science.ku.dk/english/about-the-faculty/organisation/.

Please find the full job advertisement at
http://employment.ku.dk/.

Only electronic applications are accepted.

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Tenure-track assistant professor in computational complexity theory

Department of Computer Science, University of Copenhagen
Copenhagen, 2100

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University Professor
3rd2019 - University Professor
Overall Rating: 3/199
Median Salary: $76,000

Work Environment
Very Good
1/220
Stress
Very Low
5/220
Growth
Good
51/220