Aarhus University

At the Department of Computer Science, Aarhus University, we are determined to attract the most talented PhD students from all over the world. By combining in-depth, cutting-edge research with interdisciplinary collaboration, we maintain a strong focus on talent development and knowledge exchange with the business sector.


The Department of Computer Science at Aarhus University is one of Europe’s strongest computer science research environments, covering a wide range of research areas within theoretical as well as experimental computer science. More than half of all PhDs who obtained a PhD in computer science in Denmark are from Aarhus University.

A PhD degree from Aarhus leads to great job opportunities. After graduation many of our students are employed in the IT industry in the Aarhus region, which includes Google and also numerous small innovative companies. However, many choose to seek opportunities internationally, and many obtain academic positions either in Denmark or abroad. Due to the high level of research performed at Computer Science in Aarhus we benefit from external funding from a large amount of national and international research foundations and private companies.

The Computer Science programme covers a wide range of theoretical and experimental areas:

  • Algorithms and data structures – with a particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets,
  • Bioinformatics – developing algorithms for analysis of large biological data sets, such as string and pattern recognition algorithms,
  • Mathematical computer sciencecovering topics such as computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multiagent systems,
  • Computer graphics and image processing – including physically based simulation of surfaces and fluids, biomedical simulation and visualization, medical image processing on graphics hardware, and biomedical simulation,
  • Cryptography and security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography,
  • Data-intensive systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing,
  • Computer mediated activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life,
  • Use, design and innovation – including participatory design in innovation processes,
  • Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes and workplaces,
  • Programming languages – focusing on object-oriented and functional programming, web technologies, and specification, verification, testing and analysis of software.

Video presentation of research areas (in Danish)