Position: Postdoctoral Research Fellow
Period: 3 years
Field: Cognitive and social neuroscience, neuroimaging
We are seeking a postdoctoral research fellow to undertake research in
the Motivation Science Lab (PI: Kou Murayama; http://koumurayama.com/)
at the University of Reading in cognitive neuroscience, specifically
to examine how intrinsic rewards are processed in the brain using
real-life, dynamic stimuli (e.g., sport videos) and how this is
related to memory consolidation.
The successful candidate will be part of a big interdisciplinary team
funded by the prestigious Leverhulme Research Leadership Award --- a
5-year £1M award. We aim to establish an integrative theory of human
interest and its relations to extrinsic rewards, combining
psychological, neural, computational, and applied perspectives.
The postdoctoral research fellow will work on an fMRI project that
collects and analyses neuroimaging data using real-life and dynamic
stimuli.
The position will be for 3 years (full-time) and the expected start
date is on September 1st, 2019 (negotiable).
The School of Psychology and Clinical Language Sciences at the
University of Reading was ranked in the top 20 (15th) in the UK in its
unit of assessment in the 2014 Research Excellence Framework based on
research power.
You will need to have:
- PhD in Psychology, Neuroscience, or other related discipline (or
working towards completion)
- Good knowledge about cognitive neuroscience in general (ideally good
knowledge on reward learning, intrinsic motivation, and/or memory)
- Good fMRI data analysis skills (univariate analysis, multivariate
analysis, network analysis, etc.): Please specify the type of analysis
and program that you can use.
- Evidence of having published peer-reviewed papers on the relevant topics
- Ability to work independently, good organizational skills, and good
interpersonal skills.
Interview date: 31/07/2019
Contact: Kou Murayama ([log in to unmask])
Application: Please apply online
(https://jobs.reading.ac.uk/DisplayJob.aspx?jobid=5075&source=JOBTRAINjobsite)
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