We have an opportunity for a postdoctoral fellow to make a leading contribution to an ERC-funded project investigating the neural and computational principles underlying human decision making and learning at the Centre for Cognitive Neuroimaging (CCNi) at the University of Glasgow.
The job has a strong computational cognitive neuroimaging component, requiring advances in 1) theoretical neuroscience – to enable the development of a unified computational framework for integrating perceptual and reward learning and decision making – and 2) multimodal brain imaging – to offer a high spatiotemporal characterisation of the relevant cortical and subcortical pathways. Main research themes include, but not limited to: reinforcement learning and valuation, risk and uncertainty, confidence and metacognition, evidence integration and decision making. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. The successful candidate will also be expected to work closely with other postdoctoral fellows to contribute to the formulation and submission of research publications and research proposals as well as help the PI manage the project as opportunities allow.
The School of Psychology and Neuroscience is a world-class research and teaching unit situated within the College of Medical, Veterinary & Life Sciences. It has recently been rated 4th in the UK and 1st in Scotland, REF 2021 research output in Times Higher Education: Psychology, Psychiatry and Neuroscience category. The CCNi studies how the human brain gives rise to complex cognitive functions, using an integrated cognitive, neuroscientific and computational approach. Key research themes at CCNi include perception, sensory-motor integration, attention, predictive processing, memory & plasticity, decision making, and social interactions. Dynamic neuroimaging is foundational for the success of the CCNi and its international standing, which is supported by a range of in-house technologies such as a 3T MRI scanner, several EEG and brain stimulation labs as well as the only state-of-the-art MEG facility and a 7T MRI scanner in Scotland.
This post is full time and has funding up to 31st May 2026 with the possibility for an extension beyond this date (contingent on funding).
To apply online, please follow this link:
https://www.jobs.ac.uk/job/DDD932/research-assistant-associate-postdoctoral-2-posts
Closing date: 31 October 2023
