Why Cognitive Computing in Nijmegen?

Why study Artificial Intelligence: Cognitive Computing

  • Our cognitive focus leads to a highly interdisciplinary AI programme where you will gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
  • Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we will train you to become an excellent researcher in AI.
  • You are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.
  • This specialisation offers plenty of room to create a personalised programme that meets your own academic and professional interests.
  • To help you decide on a research topic, we organise a yearly AI Thesis Conference where graduating students present their work, companies will offer internship possibilities, and Donders PIs will present recent and potential research projects. Our Good AIfternoon seminar series often hosts company and NGO representatives giving a teaser of research possibilities. We are also open to any of your own ideas for research.
  • At Artificial Intelligence in Nijmegen, we believe it is important that our education has a connection with the work field. That is why we have a Work Field Committee that helps improve this connection. The members of the committee are people who work at companies such as TNO, ASML, CBS, or smaller companies. The Work Field Committee monitors and identifies the knowledge and skills that are beneficial for our students in order to be successful in the work field. Furthermore, they advice on how students within our study programme can be prepared for a related job after graduation.

Have you ever wondered

  • Whether there really is something like ‘free will’ or whether that is a mere illusion of our neuronal architecture?
  • Why it takes 10 Megawatt to simulate one second of brain activity while the brain uses no more energy than a lightbulb?
  • How state-of-the-art machine learning architectures, such as convolutional deep neural networks, can be trained and how their classifications can be motivated and explained to human users?

Do you want to know more about what Radboud University has to offer?

Why Radboud University

Think towards a better world with Cognitive Computing

With Cognitive Computing

  • Become an expert in machine learning and an excellent researcher in AI
  • Contribute to a better understanding of how the brain realises cognition