Research
Our research programme at the Faculty of Computer Science is organised around a structured framework to support doctoral education and scientific work. At the top level, research is grouped into several broad Research Clusters. Each cluster represents a thematic area of computer-science research, and clusters are comprised of multiple faculty subunits. This structure helps to align doctoral candidates, supervisors, and research efforts according to shared interests and methodologies.
With more than 200 scientific and general staff, and a range of faculty subunits and platforms, the programme fosters both fundamental and applied research.
Research Clusters
The framework is currently organised around four main clusters, each defining a broad area of research focus:
- Algorithms and Computing (A&C)
- Data and Knowledge (D&K)
- Human–Computer Interaction and Education (HCIE)
- Models and Systems (M&S)
Each cluster sets a general “research agenda” or thematic direction, and brings together related faculty subunits to carry out projects, seminars and collaboration.
Faculty Subunits — The Building Blocks
Within each cluster, there are multiple faculty subunits. These groups are the actual units where research is done — doctoral students join a faculty subunit under a supervisor, and their thesis work, seminars, and collaborations are tied to that group.
For example:
- In the A&C cluster, there are groups such as Scientific Computing and Theory and Applications of Algorithms.
- In other clusters, similar sets of faculty subunits cover specialized sub-areas, aligning with the thematic focus of the cluster.
This layered structure — cluster → faculty subunits — ensures that doctoral candidates can find a niche that aligns with their research interests while being part of a larger community with related topics.