May 24, 2017
The Department of Cognitive Science at Central European University announces one or more openings for postdoctoral fellows for one year (extendable), starting no later than September 2017, to work on a project in computational cognitive science. The aim of the project is to track changes in human subjects’ structured, task-general internal models over time as a result of decay, interference, and learning. For this, a set of novel ‘doubly Bayesian’ data analytical methods will need to be developed, using state-of-the-art Bayesian statistical and machine learning techniques which can be used to infer humans’ internal models formalised as prior distributions in Bayesian models of cognition. The project will also involve a set of stringent, quantifiable criteria which will be systematically applied at each step of the work to rigorously assess the success of the approach. These analyses will be applied to a variety of experimental data sets, collected by our collaborators, in paradigms ranging from perceptual learning, through visual and motor structure learning, to social and concept learning.
Position for:
Faculty