A post-doctoral Research Associate position in Computational Cognitive Neuroscience is available to work at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk).
The position will focus on advanced computational approaches for modelling behavioural and multimodal brain imaging data (e.g. 7T brain imaging, EEG) including Bayesian modelling, machine learning approaches, reinforcement learning and deep learning.
Research in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviours by taking into account previous experience and learning. We address this challenge using an interdisciplinary approach that combines behavioural paradigms, multimodal brain imaging (MRI, EEG, MEG, TMS) and state-of-the-art computational methods. We apply these techniques to study the young and ageing brain and understand adaptive behaviours across the lifespan.
The successful applicant will work with an interdisciplinary team to combine behavioural paradigms, with state-of-the-art brain imaging and computational modelling. They will receive multi-disciplinary research training at the interface between neuroscience, computer science, engineering and clinical applications.
Applicants should have a PhD, Masters and/or First Degree, together with a strong academic track record, in a relevant area (e.g., Neuroscience, Mathematics, Engineering, Computer Science, Physics). Programming skills are highly desirable and experience with computational modeling and/or brain imaging preferable.
Fixed-term: The funds for this post are available for 12 months in the first instance.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Informal inquiries about this post may be sent to Prof Zoe Kourtzi (firstname.lastname@example.org)
Please note the closing date for applications is 12th September 2018. Applications received after this time will not be considered.
Please quote reference PJ16436 on your application and in any correspondence about this vacancy.
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