This is an opportunity for a highly creative and skilled pre-doctoral Research Assistant to join the dynamic and multidisciplinary research environment of the Computational and Biological Learning research group (https://www.cbl-cambridge.org/), Department of Engineering, University of Cambridge. We are looking for a Research Assistant to work on projects related to statistical learning and contextual inference in the human brain. We have a particular focus of learning of aversive states, as this has a strong clinical significance for chronic pain and mental health disorders. The RA will be supervised by Dr Flavia Mancini (MRC Career Development fellow, and Head of the Nox Lab www.noxlab.org), and is expected to collaborate with theoretical and experimental colleagues in Cambridge, Oxford and abroad. The post holder will be located in central Cambridge, Cambridgeshire, UK.

As a general approach, we combine statistical learning tasks in humans, computational modelling (using Bayesian inference, reinforcement learning, deep learning and neural networks) with neuroimaging methods (including 7T fMRI). The successful candidate will strengthen this approach and be responsible for designing experiments, collecting and analysis behavioural and brain fMRI data using computational modelling techniques.

The key responsibilities and duties are:

Ideating and conducting research studies on statistical/aversive learning, combining behavioural tasks, computational modelling (using Bayesian inference, reinforcement learning, deep learning and/or neural networks) with fMRI in healthy volunteers and chronic pain patients.
Disseminating research findings
Maintaining and developing technical skills to expand their scientific potential

******* More info and to apply: https://www.jobs.cam.ac.uk/job/35905/

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