Department of Engineering, Central Cambridge
The Computational and Biological Learning research group (https://www.cbl-cambridge.org/) at the Department of Engineering are looking for a postdoc to work on projects related to statistical learning and contextual inference in the human brain. We have a particular focus on learning of aversive states, as this has a strong clinical significance for chronic pain and mental health disorders. The postdoc 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 (especially Professor Mate Lenygel's group in Cambridge and Professor Ben Seymour and Dr Katja Wiech groups in Oxford). 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 and/or expand on this approach and will be responsible for designing their own experiments in collaboration with the rest of the team.
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, EEG and/or EcoG.
- Disseminating research findings
- Co-supervising of research student projects
- Maintaining and developing technical skills to expand their scientific potential.