Computer Science

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

  • Algorithms and data structures – 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.
  • 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.
  • Mathematical computer science – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
  • Programming languages – object-oriented and functional programming, web technologies, and specification, verification, testing and analysis of software.
  • 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 several prominent research centers, including Center for Massive Data Algorithmics, Center for the Theory of Interactive Computation, Bioinformatics Research Center, Center for Pervasive Healthcare, Center for Interactive Spaces, and Center for Advanced Software Analysis.


Before you apply

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 Sofia Rasmussen.


Examples of employment after graduation:

After graduation a majority of our students are employed in the IT industry in the Aarhus area, which includes companies such as Google Aarhus, Systematic, and Trifork, however many choose to seek opportunities internationally, and many 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.

These web pages are aimed at prospective PhD students in Computer Science.

Facts

43 PhD students are currently enrolled at CS:

  • 16 international students
  • 27 Danish students
  • 8 female students
  • 35 male students

  • 274 PhDs in Computer Science have graduated from Aarhus University since 1975

Head of Programme

Anders Møller

Professor
M
H bldg. 5341, 224
P +4587156254
P +4523309994

Local Programme Secretary

Sofia Rasmussen

Research Group Coordinator

GSST PhD Partner

Download information folder

The programme: (copy 1)

This programme covers a wide range of theoretical and experimental areas in Computer Science and Bioinformatice:

  • Algorithms and data structures – 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.
  • Mathematical computer science – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
  • Cryptography and security – public-key cryptography, cryptographic protocols, and quantum cryptography.
  • Data-intensive systems – 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 – participatory design in innovation processes.
  • Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes and workplaces.
  • Programming languages – object-oriented and functional programming, web technologies, and specification, verification, testing and analysis of software.
  • Logic and Semantics - semantics of programming languages and type theories, models and logic for reasoning about programs.

Affiliated centres/departments:

The programme is affiliated with the Department of Computer Science, which has around 1000 students and 150 employees. The department houses several prominent research centers, including Center for Massive Data AlgorithmicsCenter for the Theory of Interactive ComputationBioinformatics Research CenterCenter for Pervasive HealthcareCenter for Interactive Spaces, and Center for Advanced Software Analysis.  

Examples of employment after graduation:

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

 

12576 / i43