[6/7] Software developer (in a research environment!) ▶️ Apply before October 10
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.
Maastricht University is about to add a new bachelor’s programme to its portfolio: Computer Science. The programme kicks off in September 2023.
Data scientist Marijn ten Thij studies human behaviour on the basis of messages posted on social media. For example, he mapped the changing mood during the corona pandemic using 3.5 million tweets. The analysis of this kind of data is not only socially relevant, it could also help individuals in psychological distress. The underlying patterns are quite intriguing, says Ten Thij.
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.