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Postdoctoral research post in Computational Cognitive neuroscience

A post-doctoral Research Associate position in Computational Cognitive neuroscience is available to work at the Adaptive Brain Lab (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. high-field brain imaging, EEG, MEG) 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, movement recording, 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 psychology, 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 1 years in the first instance.

Informal enquiries should be directed to Prof Zoe Kourtzi (zk240@cam.ac.uk)

Please note the closing time for applications is 20 December 2017. Applications received after this time will not be considered.

Please quote reference PJ14061 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information on the vacancy, and information on how to apply online, can be found on the University jobs website.

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