Research

Department of Advanced Computing Sciences

The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department, covering a broad range of fields, including artificial intelligence, data science, computer science, mathematics, robotics, and cybersecurity.

Over 100 researchers work in the department, whose roots trace back to 1987.

About us

The department’s activities span the entire spectrum from curiosity-driven research to responsible societal applications, often taking on an interdisciplinary character. Our contributions to areas such as multi-agent systems, (medical) signal and image processing, FAIR principles, game theory, intelligent search techniques, and affective computing are internationally recognized.

With staff and students coming from over 50 different countries, the Department of Advanced Computing Sciences maintains an inclusive and highly international working environment. We embrace team science, interdisciplinary thinking, and flat hierarchies as core values of our community.

Internally, the department is organized into five dynamic research area groups. Furthermore, a total of 11 chairs are associated with the Department of Advanced Computing Sciences. Navigate the menu to learn more about our research area groups and chairs.

Research domains

Director of research: Nava Tintarev
Chair: Mark Winands

Professors and chairs

News, Grants, and Media appearances

Research news

DigiMach: digitisation for SMEs

Digitisation is becoming more and more important, including for small and medium-sized enterprises (SMEs). DigiMach is a Euregional innovation project designed to help smaller companies in the metal sector move forward with digitisation. Maastricht University is one of the partners.

UMagazine DigiMach Anna Wilbik Rudolf Muller Rim Stroeks

Brightlands High Tech Agro: where robots and plants shape the future of horticulture

At Brightlands High Tech Agro humans will work alongside robots and drones. From its opening in june 2026, researchers, students, and businesses will collaborate here to build the future of horticulture, where technology and biology go hand in hand.

Leonard Lucas working with robot arms in the Brightlands High Tech Agro lab

New data and computing infrastructure enables the Einstein Telescope to listen for gravitational waves

Fourteen universities and companies from the Euregion are joining forces in the ETCETERA project. Together, they are developing an advanced data and computing infrastructure to help the Einstein Telescope detect and analyse gravitational waves.

Een illustraties van signalen die tussen sterrenstelsels reizen

Thanks to AI, we can play a Roman game again

A rectangle incised with diagonal and straight lines, hewn from limestone quarried in France, a thrilling strategy game can look deceptively simple. The Romans used glass, bone or earthenware pieces. Players took turns trying to block each other’s pieces; whoever did it in the least number of moves.

AI generated image of 2 Romans in a historically accurate setting playing a game

New master in Responsible Data Science: for ethical and sustainable AI developments.

As of September 2026, the new Responsible Data Science master’s programme at Maastricht University prepares students to become professionals who deploy artificial intelligence and other digital technologies with respect for both people and the planet.