Computer Science

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

Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
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.
Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
Programming Languages – program analysis and testing.
Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
Use, Design and Innovation – including participatory design in innovation processes,

Affiliated centres/departments:

The programme is affiliated with the Department of Computer Science, which has around 1000 students and 150 employees. The department houses a wide range of world-class research groups.

Information for prospective PhD students

Please see our information for prospective students.

Before you apply, please have a look at the relevant research pages listed above and read the application guidelines, which specify required documentation.

Research-related questions should be directed at the relevant research leader. General questions about PhD studies, admission etc. should be directed at head of programme Anders Møller or PhD Administrator Henriette Gammelgaard Farup. Please note that your application must be completed via the online application system to be valid.

About PhD studies at CS

Application Guide

Apply for PhD position

Examples of employment after graduation:

After graduation, many of our students are employed in the IT industry in the Aarhus area, which includes companies such as Google, Uber, Systematic, and Trifork, however many choose to seek opportunities internationally, or obtain academic positions either in Denmark or abroad.

Geographic location:

Except for Bioinformatics, all research groups are located in the IT-City of Katrinebjerg, Aarhus.

There is close collaboration with the Department of Information and Media Sciences, the Alexandra Institute, and numerous IT companies. The Bioinformatics activities are located at the main AU campus.