Welcome to the Center for Cognitive Science
One of the main focuses of the Center for Cognitive Science is to establish the interdisciplinary Graduate School of Cognitive Science, an exchange platform for PhD students, Master students of the Cognitive Science program, young post-docs, and Principle Investigators, in order to support the academic career of our fellows through activities such as: weekly meetings to present the current projects and to discuss further steps, organizing methods seminars which are given by the PhD students or post-docs themselves, and by assisting them in publishing with the interdisciplinary scientific peer review group.
The idea is to ensure that students have the opportunity to get involved early in scientific discussions, methodological and softskill training, and to discuss ideas with more advanced PhD students and post docs as well as planning their further scientific career in the academia.
One tool used to carry out our initiative is the PhD program of the Center for Cognitive Science. The goal is to support PhD projects where at least two Principle Investigators (PIs) from different disciplines (e.g. a psychologist, a computer scientist, and a linguist), work on a shared topic and together, are responsible for the supervision of a PhD student. This student is then funded with a one year scholarship by the Center for Cognitive Science, while the PIs share the costs for the other two years.
The Center for Cognitive Science organizes a weekly interdisciplinary colloquium (during the semester, every Thursday 3.30 pm - 5 pm, Building 57, Room 508), held in English, with national and international speakers from excellent research institutions.
A: Cognitive Dynamics in Humans and Artificial Systems
- reading and language processing
- auditory processing and memory
- complex problems solving and decision making
- perceptual organization and pattern recognition
B: Human-Machine Interaction
- cognitive aspects of interactive simulation
- intelligent assistance systems
Modelling of Cognitive Dynamics (cross-modules)
- functional data analyses
- network analyses
- complex stochastic analyses