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relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and
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is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in
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. In Europe, these concerns have driven major regulatory developments, notably the EU AI Act and related digital sovereignty initiatives, which introduce risk- and rights-based approaches but often leave
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic approaches
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the Department). The position is part of the ERC Advanced-prosjektet «New Horizons of Parameterized Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and
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to an obtained doctoral degree. We have a vacancy for a PhD Candidate in Databases and Search group for developing efficient search engines at the Department of Computer Science. The position is funded by
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connections. The project will have theoretical and algorithmic developments, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a
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2nd October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate for Developing Efficient Search Engines Apply for this job See advertisement