Leverhulme doctoral programme: Interested in both Machine Learning and Neuroscience?
Hi all, Applications for our interdisciplinary Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020 are now open. There are many great projects and you can propose your own but if you're interested in both Machine Learning and Neuroscience then why not come study Active Inference in brains and machines with myself and the venerable Prof Anil K. Seth. See our project description on the website below. For this project please inquire at c.l.buckley@sussex.ac.uk FUNDED PHD POSITIONS AT THE UNIVERSITY OF SUSSEX The University of Sussex invites applications for PhD studentship awards within its Leverhulme Doctoral Scholarship Programme entitled “From Sensation and Perception to Awareness”, directed by Jamie Ward and Anil Seth. The prestigious Sussex Leverhulme Trust Doctoral Scholarship Programme <https://www.findaphd.com/common/clickCount.aspx?theid=3783&type=185&url=https%3a%2f%2fwww.sussex.ac.uk%2fsensation> brings together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. The Programme will support an intake of up to NINE students starting in September 2020. PhD students will be registered within one of the participating schools (Life Sciences, Informatics, Psychology, Media Film & Music, and Brighton and Sussex Medical School). The closing date for applications is January 31st, 2020. For further details, including how to apply, see… https://www.findaphd.com/phds/program/studentships-available-from-the-univer... <https://www.findaphd.com/phds/program/studentships-available-from-the-university-of-sussex-s-leverhulme-doctoral-scholarship-programme-from-sensation-and-perception-to-awareness/?i356p3783> Dr Christopher L. Buckley Senior Lecturer in Neural Computation Evolutionary and Adaptive Systems Group Sussex Neuroscience Department of Informatics and Engineering University of Sussex Falmer Brighton, UK c.l.buckley@sussex.ac.uk
participants (1)
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Christopher Laurie Buckley