Connectionists: Post-doctoral position in Machine Learning for Brain and Mental Health

[Zoe Kourtzi]

Post-doctoral position in Machine Learning for Brain and Mental Health at the Cambridge Image Analysis Group (http://www.damtp.cam.ac.uk/research/cia/cambridge-image-analysis) and the Adaptive Brain lab (http://www.abg.psychol.cam.ac.uk), University of Cambridge, UK.

Opportunity to work with our cross-disciplinary team on a project focusing on developing state-of-the-art machine learning and image analysis methods for the early diagnosis of dementia and mental health disorders. Our work programme aims to develop a fully deployable decision support system to a) aid clinicians in early diagnosis and patient management decisions, b) direct tailored interventions to individual needs, c) inform patient selection for clinical trials. This work has already gathered significant media interest (e.g. https://www.bbc.co.uk/news/health-57934589) and has the potential for transformative applications into clinical practice.

The successful applicant will receive multi-disciplinary research training at the interface between machine learning, neuroscience, and clinical translation. They will work with teams at the Alan Turing Institute (https://www.turing.ac.uk), the UK’s national Institute for Artificial Intelligence and Data Science. They will also work in close collaboration the EDoN Initiative (https://edon-initiative.org) spearheaded by Alzheimer’s Research UK, and the Data Science and Neuroscience teams at AstraZeneca.

For details and to apply online see:
https://www.jobs.cam.ac.uk/job/32357/

For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk<mailto:zk240 at cam.ac.uk>) with CV and brief statement of background skills and research interests.
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