Postdoc Position at University of Cambridge

Applicants are invited to apply for a postdoc position in computer science at University of Cambridge, UK. This fellowship is last for two years and posible to extend. The deadline to apply is March 17, 2019.

A post-doctoral Research Associate position in Computational Cognitive Neuroscience is available to work at the Adaptive Brain Lab, University of Cambridge, 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, 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 year in the first instance.

Informal enquiries about the position can be made to Professor Zoe Kourtzi (

Please note the closing date for applications is 17 March 2019. Applications received after this time will not be considered.

Deadline: March 17, 2019
Apply Link:

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