As part of an ongoing NIH-funded collaboration between Professor Sonia Bishop (Psychology & HWNI, UC Berkeley), Professor Anne Collins (Psychology & HWNI, UC Berkeley), Professor Sheri Johnson (Psychology, UC Berkeley) and Professor Peter Dayan (MPI, Tübingen, Germany), there is an exciting opening for a postdoctoral candidate to work at the cutting edge of computational psychiatry research. In our collaborative research, we use computational modeling to delineate component processes contributing to various forms of decision-making and belief updating, investigate the associated neural substrate (using fMRI), and relate abnormalities in these processes and associated neural function to dimensional measures of psychopathology. For pertinent theoretical and empirical work by team members please see: http://bishoplab.berkeley.edu/bishop_2018.pdf, https://elifesciences.org/articles/6138, https://pubmed.ncbi.nlm.nih.gov/32710256/.
The successful postdoctoral candidate will be based in the Computational Psychiatry and Affective Cognitive Neuroscience laboratory at UC Berkeley in Berkeley, California. The CPACN lab is located within the new Berkeley Way West (BWW) building which houses the Department of Psychology and multiple cognitive neuroscience, computational and clinical research groups, providing a rich and stimulating scientific community. BWW is within a 2 minute walk of the H. Wheeler Brain Imaging Center, located within the Li Ka Shing Center for Biomedical and Health Sciences which is home to two 3T MRI scanners and one 7T scanner. There will also be the opportunity for annual collaborative trips to the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. There may also be the opportunity to be based for a period of time at a new European partner site.
We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for scientific and career development this position can provide. We seek applicants with established programming and computational modelling skills and a PhD in cognitive science, cognitive neuroscience or a related discipline. Experience with fMRI and good knowledge of the computational psychiatry, decision-making, or computational neuroscience literatures is prefered but not required.
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