Research Assistant/Associate X2 (Fixed Term) in Machine Learning for Precision Mental Health
Department of Psychology
2 x post-doctoral Research Associate or Assistant positions in Machine Learning for Precision Mental Health are available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, University of Cambridge, UK (http://www.abg.psychol.cam.ac.uk) and Prof Carola Schönlieb at the Cambridge Image Analysis Group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK.
The positions will focus on the development and implementation of state-of-the-art machine learning approaches and image analysis techniques for early diagnosis of mental health disorders (e.g. dementia, mood-related disorders). The research will involve mining biological (brain imaging, genetic) and cognitive data from large-scale cohort studies with advanced machine learning methods to determine markers for early disease diagnosis. The aim of the research is to develop biologically-inspired artificial systems for precision mental health by bringing together expertise in machine learning, data science, neuroscience, and clinical practice.
The successful applicants will receive multi-disciplinary research training at the interface between machine learning, and clinical neurology and will work in collaboration with The Cambridge Centre for Mathematical Imaging in Healthcare, and the Alan Turing Institute, the UK's national Institute for Artificial Intelligence and Data Science and AstraZeneca's Data Science and Neuroscience teams.