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BBSRC Targeted PhD Studentship

Applications are invited for a 4-year BBSRC Targeted PhD studentship in the area of Machine Learning and NeuroImaging starting in October 2018 at the Department of Psychology, University of Cambridge.

The successful candidate will conduct research under the supervision of Prof Zoe Kourtzi at the Adaptive Brain Lab and in collaboration with Prof John Aston: DPMMS, Statistical Laboratory and Dr Pietro Lio: Computer Lab.

The project focuses on machine learning applications in cognitive neuroscience. We aim to develop predictive models that synthesise multivariate data to define profiles of individual neuro-cognitive health. We address this challenge using an interdisciplinary approach that combines state-of-the-art mathematical modelling with behavioural paradigms, and brain imaging. Our team works with computer scientists, mathematicians, cognitive neuroscientists and industrial partners to translate our research to user-friendly tools that can be used to assess and promote cognitive health across the lifespan.

For the first year, the student will train through lab rotations in a range of interdisciplinary methods including machine learning and state-of-the-art brain imaging. Following this, the student will continue their PhD research in the area of Machine learning in Cognitive Neuroscience.

The application deadline is Wednesday 6 December 2017.

Eligibility criteria and how to apply.

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