The main project will focus on the oscillatory correlates of predictive processing in vision and audition with a special focus on neural entrainment phenomena and top-down control. The project is part of a collaborative research effort of the BCBL with the Hebrew University of Jerusalem funded by the ERC with PIs: Ram Frost (Hebrew U), Craig Richer (BCBL), Nicola Molinaro (BCBL).
The expected time frame is one year with a possible extension to another year. The project is based upon a set of EEG and MEG experiments that will be designed to uncover the neural mechanisms supporting predictive processing – across sensory modalities and cognitive domains. The long-term goal is to evaluate the role that such predictive skills play in second language learning, and how these are implemented neurobiologically.
We are interested in candidates with a high level of independence, familiarity with EEG or MEG, as well as computing tools (Python/Matlab). Candidates should demonstrate a convincing publication record.
The successful candidate will join an interdisciplinary team of researchers studying the cognitive and neural mechanisms underlying statistical learning, predictive processing and language learning, and research will be carried out primarily at the BCBL, with stays at the and Hebrew U.
To submit your application please follow this link: http://www.bcbl.eu/calls, applying for EEG_MEG Postdoc 2019_02 and upload:
- A curriculum vitae.
- A cover letter/statement describing your research interests (4000 characters max).
- Two reference letters submitted directly by the referees through the outline system.
Application deadline: 15 April 2019