The Centre for Artificial Intelligence and Neuroscience at University of Bonn is looking to recruit a postdoctoral fellow and a PhD student to undertake high quality research and produce high-impact publications in a collaborative research project investigating the mechanisms of human aversive learning (a pre-clinical model of anxiety disorders) in a big-data approach. The project is led by Prof Dominik Bach. The goal of the advertised positions is to (a) conduct an fMRI mega-analysis of multi-voxel threat representations, using existing data from the ENIGMA consortium, and (b) adapt and improve methods to infer threat learning from psychophysiological and behavioural data in fMRI and ambulatory settings. The position involves a close collaboration with the Department for Imaging Neuroscience (FIL) at UCL Queen Square Institute of Neurology, London, UK, where part of the team is based. The role includes implementing fMRI analysis pipelines in HALFpipe, coordination with participating sites to obtain and process data, mega-analysis of threat representation geometry, implementing and developing psychophysiology and behavioural analysis pipelines using PsPM/Matlab, CogLearn/VRthreat/R, and statistical modelling (e.g. Rstan), and publication of research and development results.