Cambridge Centre for Research Associate/Senior Research Associate in Machine Learning and Clinical Informatics x 2 (Fixed Term)
Department of Psychology
2 x post-doctoral Research Associate positions in in Machine Learning and Clinical Informatics are available to work with Prof Zoe Kourtzi at the University of Cambridge, UK (http://www.abg.psychol.cam.ac.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 neurodegenerative diseases. The research activity is at the core of the Early Detection of Neurodegenerative diseases initiative (EDoN: https://edon-initiative.org), an international, innovative project spearheaded by Alzheimer's Research UK, the UK's leading dementia research charity and funded by the Alzheimer's Drug Discovery Foundation. The project builds on interdisciplinary collaboration between Prof Zoe Kourtzi, University of Cambridge, Alzheimer's Research UK, and the Alan Turing Institute, the UK's national Institute for Artificial Intelligence and Data Science. The project will involve developing advanced machine learning approaches to mine digital (i.e. mobile tech, wearable), biological (blood markers, brain imaging, genetic) and cognitive data from large-scale cohort studies for the early diagnosis of neurodegenerative diseases. The successful candidates will receive multi-disciplinary research training at the interface between cognitive neuroimaging, computational modelling, and clinical translation.
The successful candidates will be integrated members of EDoN and will develop machine learning models which are capable of detecting initial disease manifestations and predicting individuals' risk of developing dementia decades before the onset of cognitive decline. They will receive multi-disciplinary research training at the interface between machine learning, neuroscience, and clinical translation and will work with close collaboration with the EDoN team, the Alan Turing Institute, the Cambridge Image Analysis (CIA) Group, and the National Physics Laboratory - Digital Health programme. Applicants should have a PhD, together with a strong academic track record, in a relevant area: Mathematics, Computer Science, Engineering, Neuroscience, Biostatistics, Medicine.
Programming skills are highly desirable and experience with machine learning, data science, biostatistics, or clinical neuroscience and neuroimaging are highly beneficial. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across sectors (academia, industry).