The candidate will work on computational models of working memory. For more efficient memory storage, people are used to group information into meaningful units called chunks. A first proposal implementing chunking processes within a working memory model has been proposed in our lab (Portrat et al., 2016). The goal of this post-doctoral project is to extend this framework because many factors, that are not considered yet, are known to influence chunking (e.g., prior knowledge, perceptual characteristics). The candidate should be able to understand the existing computational model, extend it considering the literature and other models, and compare it to experimental data. Experiments should also be designed to collect data that would be necessary to test the model. Candidates should have a PhD in one of the domains of cognitive sciences (cognitive psychology, artificial intelligence, neurosciences, computer science) and a background in both computer programming and cognitive theories.
Duration: 12 months
Apllication deadline: until filled, starting date: from Autumn 2019 (adaptable)
Contact: Benoit Lamaire and Sophie Portrat