Our department - part of the Faculty of Science and Engineering of Maastricht University, the Netherlands - is growing rapidly. We are excited to welcome new colleagues to strengthen our research and education in Artificial Intelligence, Data Science, Computer Science and Applied Mathematics.
You can find the list of positions for your consideration below, as well as a brief introduction to the city of Maastricht, our department and what we have to offer. If you have any questions about these positions or about us, please do not hesitate to reach out using the contact details at the bottom of this page. We will gladly get to know you.
- Benefits including pension scheme, partially paid parental leave, optional collective healthcare insurance
- Diverse and international work environment
- Excellent opportunities for collaboration
Working and living in Maastricht
The city of Maastricht developed from a Roman settlement into a flourishing European city.
Maastricht is best-known for the 1992 Treaty of Maastricht, which laid the foundation for establishing the European Union. Given the city's location, this is hardly a surprise: Maastricht lies in the heart of Europe, within 30 kilometers from the Belgian and German borders. The city and its inhabitants have a strong international character which is reflected in our department.
However, there is more to the city than just its cross-border character. For example, Maastricht has the second highest number of monuments in all of the Netherlands: roughly 1 monument for every 73 inhabitants, second only to the Dutch capital of Amsterdam. This historical decor forms the backdrop for year-round cultural events, such as festivals, international art fairs, concerts and more. Just outside of the city, you can stroll through rolling hills and explore cave complexes.
Maastricht is a safe and family-friendly city, where - in true Dutch fashion - getting around by bike is common and easy. Compared to other Dutch college cities, housing is affordable and accessible. If you are unfamiliar with the Netherlands, the university's Knowledge Centre for International Staff will gladly assist you with practical matters.
DKE: The Department of Data Science and Knowledge Engineering
We have nearly 30 years' experience in research and teaching.
Our efforts focus on four complimentary fields: Artificial Intelligence, Data Science, Computer Science and Applied Mathematics. The department's contributions to areas such as multi-agent systems, (medical) signal and image processing, game theory and AI search techniques are internationally recognized. DKE maintains a large and worldwide network of public and private collaborators, and our staff is firmly rooted in multiple national and international research networks.
Next to our research, we take pride in our education. Our master's programmes are nationally ranked #1 in the AI and Computer Science categories, and we offer our students an award-winning honours programme in collaboration with companies in the Euregion.
Diversity and inclusion
DKE is a community consisting of ~50 researchers at various stages of their career, nearly 600 BSc and MSc students and a team of 13 dedicated support staff members. Together, we come from over 40 different countries. DKE is strongly committed to maintaining the safe and supportive atmosphere at our department. We provide an unbiased and welcoming environment. DKE believes that diversity in the broadest sense - including diversity of gender, age, and nationality - makes us all better.
Collaborations and embedding
Our research and teaching is characterized by a collaborative and cross-disciplinary character.
We engage in projects and applications which require us to push boundaries in the fields of Artificial Intelligence, Data Science, Computer Science and Applied Mathematics. Of course, we are eager to provide new colleagues with access to our worldwide network of collaborators.
The department is active in networks such as ICAI (The Innovation Center for Artificial Intelligence), CLAIRE (The Confederation of Laboratories for Artificial Intelligence in Europe) and IPN (ICT Platform Netherlands). We maintain over 30 industry partnerships through our KE@Work programme, which places talented students with regional businesses under academic mentorship. Our KE@Work partners include companies such as Ericsson, Q-Park and Statistics Netherlands. Staff partakes in large-scale research consortia, for example through European Horizon 2020 projects, and collaborates with research partners such as the Moffitt Cancer Center in Florida (US) and Nikhef, the Dutch National Institute for Subatomic Particle Physics.
Within the university
Maastricht University itself offers no shortage of inspiring collaborators. We collaborate with researchers from all of the universities' six faculties.
Furthermore, DKE is embedded in the university-wide Data Science network, DS@UM.
The Faculty of Science and Engineering
It's exciting times for STEM research in Maastricht.
Within Maastricht University, DKE is part of the Faculty of Science and Engineering (FSE). A number of exciting developments are taking place in the faculty, which houses several outstanding departments and institutions covering education and research in Science, Technology, Engineering and Mathematics (STEM) as well as the liberal arts and sciences.
Notably, construction of the next-generation gravitational wave detector prototype – the ETpathfinder – is about to commence in Maastricht. This brings global STEM challenges to our doorstep and sets the stage for cutting-edge research, including at the interface of physics and Data Science/AI.
From ETpathfinder to Einstein Telescope?
Construction of ETpathfinder may only be the beginning: Maastricht is one of two candidate locations left for constructing the Einstein Telescope itself, an underground gravitational wave detector consisting of three arms of 10 kilometers long. The second potential location is the island of Sardinia in Italy. A decision is expected in 2021 or 2022.
Would you like to know more?
We will gladly answer any questions you have. Feel free to get in touch with us:
Manager, Department of Data Science and Knowledge Engineering
Professor of Computer Science and Artificial Intelligence
Head of the Department of Data Science and Knowledge Engineering