We use advanced structural (e.g. surface- and connectivity-based cortical parcellation, diffusion tractography) and functional (e.g. connectivity metrics) magnetic resonance imaging methods in order to address our research questions.
This post operates within a dynamic multidisciplinary team of clinical and non-clinical scientists within the Cambridge University Departments of Psychiatry, Psychology and Clinical Neurosciences. It provides unparalleled access to translational neuroscience in terms of imaging methods, research facilities and cognitive neuroscience.

Applicants should have a PhD with a strong background in neuroimaging data analysis. Proficiency with Python, Matlab, or R languages, and other neuroimaging analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI and DTI analyses are expected. In order to maximise the research outputs from the data, a demonstrable interest in researching, developing, applying and interpreting novel analysis methods is highly desirable. The post holder will be expected to contribute to the dissemination of results and to the writing of reports, and therefore should demonstrate excellent verbal and written communication skills. The post holder will also be expected to co-supervise postdoctoral students with their data analyses.