[Proof Complexity] Assistant, associate, and full professorships in machine learning (including complexity theory)

Jakob Nordström jn at di.ku.dk
Wed Aug 17 14:27:43 CEST 2022

Dear colleagues,

I would be most grateful for any assistance in spreading the information below regarding open professorships at the University of Copenhagen. The positions are in machine learning broadly construed, and strong candidates in, e.g., computational complexity theory or combinatorial solving/optimization with research interests somewhat intersecting with ML have received offers in previous calls. In addition to the official contact persons below, I would be happy to respond to any queries to the best of my ability from an algorithms & complexity viewpoint at UCPH.

Best regards,
Jakob Nordstrom

Jakob Nordström, Professor
University of Copenhagen and Lund University
Phone: +46 70 742 21 98


The Department of Computer Science at the University of Copenhagen invites applications for three positions as tenure-track assistant professor, associate professor, or full professor in machine learning.

We are looking for outstanding, experienced researchers with an innovative mindset and intellectual curiosity to strengthen and complement the research profile of the department within machine learning broadly construed. Research areas of interest include, but are not limited to: machine learning theory; development of machine learning tools for specialized domains; scalable and efficient machine learning; applications of machine learning to sustainability, including environment and the energy sector; quantum machine learning; and human issues surrounding the use of machine learning, such as fairness, ethics, and privacy. Candidates are expected to publish in the premier venues within machine learning, including, but not limited to, NeurIPS, ICML, COLT, and JMLR.

The researcher will join a rapidly growing department, with strong research sections in the areas of Algorithms and Complexity, Machine Learning, Natural Language Processing, Human-Centered Computing, Software Engineering and Data Management, Programming Languages, and Image Analysis. The department is heading 2 centres within Artificial Intelligence: the SCIENCE AI Centre (https://ai.ku.dk/) and the Pioneer Centre within Artificial Intelligence (https://di.ku.dk/ai-centre).

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is often ranked as the best university in Scandinavia and consistently as one of the top places in Europe. Within computer science, it is ranked number 2 in the European Union according to the Academic Ranking of World Universities (ARWU) 2021. The Department of Computer Science offers a friendly and thriving international research and working environment with opportunities to build up internationally competitive research groups. There are good opportunities available to apply for research funding in order to establish oneself in Denmark. The Department of Computer Science has an experienced research support unit that offers mentoring and assistance when applying for funding. Further information on start packages and recruitment grants offered by Danish private and public foundations is available at https://www.science.ku.dk/english/research/recruitment-grants-and-start-packages/experienced-researchers/.

Copenhagen is one of the 10 most livable cities in the world with a rich culture within music, theater and associations (https://www.visitcopenhagen.com). Life for families is made easy by a publicly supported daycare and health care system, dual career opportunities, and parental leave. International candidates may find information on living and working in Denmark at www.workindenmark.dk. Useful information is also available at The International Staff Mobility office (ISM) at the University of Copenhagen (https://ism.ku.dk), which offers a variety of services to international researchers coming to and working at the University of Copenhagen.

The application deadline is September 4, 2022. See https://di.ku.dk/ominstituttet/ledige_stillinger/tenure-track-assisatant-professorassociate-professorfull-professor-in-machine-learning/ for the full announcement with instructions how to apply. Inquiries about the position can be made to Head of Department, Professor Jakob Grue Simonsen (simonsen at di.ku.dk) or Head of the Machine Learning section, Yevgeny Seldin (seldin at di.ku.dk).

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