Faculty of Science
The University of Amsterdam
(UvA) is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.
The Faculty of Science
(FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute
(IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
The Multimedia Analytics Lab Amsterdam
(MultiX) led by Worring performs research on multimedia analytics by developing AI techniques for getting the richest information possible from the data, and visualizations, and interactions surpassing human and machine intelligence. We blend multi-modal data in effective interfaces for applications and social impact in public health, forensics and law enforcement, cultural heritage, and data-driven business.
The Computational Science Lab
(CSL) led by dr Mike Lees focuses on the information processing of complex and dynamic natural systems. Complex natural system systems consist of individual entities that interact with each other and the environment. They have mechanisms and rules by which they operate, but it is very hard to predict their behaviour. You need computational techniques to simulate the process and understand future behaviour. The predominant question the group tries to answer: How can you use computational techniques to make complex natural systems tractable?
Want to know more about our organisation? Read more about working at
the University of Amsterdam.