The Department of Advanced Computing Sciences - sometimes abbreviated as DACS - is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.
We maintain a large network of public and private partners through our research collaborations and through the award-winning KE@Work programme. In addition, our staff teaches approximately 800 bachelor’s and master’s students in 3 specialized study programmes in Data Science and Artificial Intelligence.
The Department of Advanced Computing Sciences is the new joint identity of the Institute of Data Science (IDS) and the former Department of Data Science and Knowledge Engineering (DKE).
Our department is growing rapidly, and will continue to do so for a while! Can we welcome you as our new colleague in Maastricht? You can find open positions within the Department of Advanced Computing Sciences and Institute of Data Science on AcademicTransfer, the online portal for Dutch academic job listings.
Research at the Department of Advanced Computing Sciences spans the disciplines and interfaces of artificial intelligence, data science, computer science, applied mathematics and robotics.
We develop new tools and methodologies to advance these fields. At the same time, we collaborate with a wide range of institutes both within and outside of Maastricht University and work on diverse applications, including in the fields of health and medicine, logistics, biology, art, physics, agrifood, smart industries, neuroscience and education.
Writing a thesis can be a lot of fun, particularly when you choose a subject that’s related to your favourite hobby. For Kristian van Kuijk, an avid cyclist, it’s even led to a dream come true. He’s found an accurate way to predict the energy burned by a rider during a race. The algorithm has impressed Team Jumbo-Visma, who are using Kristian’s predictions in this month’s Tour de France.
The new department broadly covers research and education in artificial intelligence, computer science, data science, mathematics and robotics. Over 100 staff members find their home in the new group, which is embedded in the Faculty of Science and Engineering.
Congratulations to Anna-Lena Krause, Krzysztof Cybulski and Frederik Calsius!