Faculty of Science
The University of Amsterdam
is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 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
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 Amsterdam Machine Learning Lab
(AMLab) conducts research in the area of large scale modelling of complex data sources. This includes the development of new methods for probabilistic graphical models and non-parametric Bayesian models, the development of faster (approximate) inference and learning methods, deep learning, causal inference, reinforcement learning and multi-agent systems and the application of all of the above to large scale data domains in science and industry ('Big Data problems'). AMLab is co-directed by Max Welling and Jan-Willem van de Meent. AMLab positions itself in the AI research theme, and also with clear links to the Data Science theme of the Informatics Institute.
The Computational Science Lab
(CSL) of the Informatics Institute aims to make dynamic complex systems tractable via computational science. We study a broad range of dynamics systems in fields ranging from biomedicine to urban, or socioeconomic systems. We also develop theory of dynamic complex systems based on concepts of information processing. You will be working within a group of researchers highly active on topics ranging from computational heamodynamics, cell suspensions, brain perfusion, immunology, but also simulation platforms and high performance computing for computational (bio)medicine.
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