Research Associate (imaging / cognitive neuroscience)

Vacancy Reference Number
Closing Date
1 Nov 2021
£34,304 to £40,927 Per annum (Grade 6)
Cardiff University
2 years

This group are seeking an enthusiastic, productive and highly-skilled early-career scientist for a postdoctoral research position linked to a recently awarded BBSRC grant held jointly across Cardiff University Brain Research Imaging Centre (CUBRIC) and Royal Holloway, University of London. This exciting project will apply state-of-the-art 7-Tesla MRI and high-gradient diffusion MRI to examine the functional neuroanatomy and connectivity of the human subiculum and broader hippocampal network. The studies will focus primarily on the fine-grained mapping of hippocampal network connectivity, as well as developing novel naturalistic cognitive paradigms to examine how the subiculum constructs representations of scenes and events.

The successful candidate will join a multi-disciplinary research team across Cardiff and Royal Holloway and will be expected to work closely with a second postdoctoral research associate based at Royal Holloway. This will include conceptualisation, implementation, design/analysis and dissemination of multimodal neuroimaging studies, as well as other activities linked to the grant (e.g., arranging regular online meetings, public engagement, supporting early-career researchers/students). The post-holder will also be expected to spend time at the partner institution when feasible.  In line with their commitment to open science, they will be expected to implement reliable, reproducible, and efficient approaches to data management, thus ensuring the long-term value of these data for the wider neuroimaging community. There will also be the opportunity to analyse existing in-house and publicly available multimodal imaging datasets across human and nonhuman primates (structural/diffusion MRI, 3T/7T resting and task-fMRI). The research associate will be expected to provide mentorship and support to junior researchers and students in the team on imaging data analyses.

Successful applicants will have a Ph.D. in cognitive/imaging neuroscience, experimental psychology, or related field (e.g., computational neuroscience or computer science). Strong skills in advanced statistical methods (e.g., MVPA, intersubject correlation analysis and/or network analyses), manuscript preparation, and working closely with other institutions are essential. A primary interest in the neuroscience of memory and spatial navigation and/or the analysis of existing large-sample datasets is desirable.

This full-time position is available to start as soon as possible. This is a fixed-term post until 31 March 2024.