Up to two postdoctoral positions are available to contribute to an ERC-funded project “Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion”, working with Prof Marios Philiastides.
The work aims to develop a unified framework for integrating perceptual and reward-based learning and decision-making and understanding the extent to which these processes share common computational and neurobiological underpinnings. The work will also take a critical look at the role of important decision modulators during these process, such as confidence, surprise, attention, etc.
Methodologically, the project will focus on multimodal brain imaging (e.g. behaviour, simultaneous EEG-fMRI in 3T and 7T, eye-tracking etc) and will further require the development and/or application of computational models to predict complex patterns in the multimodal datasets that will be acquired. The post-holder(s) will contribute to the design and programming of experiments, the acquisition of neural and behavioural data and the implementation of advanced multivariate data analytics for data fusion and neural characterisation.
For further information see
Closing date: 25th February 2021