Gatsby Computational Neuroscience Unit, University College London
4 year PhD Programme
The Gatsby Unit is a centre for theoretical neuroscience and machine
learning, focusing on unsupervised, semi-supervised and reinforcement
learning, neural dynamics, population coding, Bayesian and
nonparametric statistics, kernel methods, and applications of these to
the analysis of perceptual processing, neural data, natural language
processing, machine vision and bioinformatics. It provides a unique
opportunity for a critical mass of theoreticians to interact closely
with each other, and with other world-class research groups in related
departments at UCL, including Anatomy, Computer Science, Functional
Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and
Statistics, the cross-faculty Centre for Computational Statistics and
Machine Learning, the forthcoming Sainsbury Wellcome Centre for Neural
Circuits and Behaviour, and also with other UK and overseas
universities.
The Unit has openings for exceptional PhD candidates. Applicants
should have a strong analytical background, a keen interest in
neuroscience and/or machine learning and a relevant first degree, for
example in Computer Science, Engineering, Mathematics, Neuroscience,
Physics, Psychology or Statistics.
The PhD programme lasts four years, including a first year of
intensive instruction in techniques and research in theoretical
neuroscience and machine learning.
All students are fully funded, regardless of nationality. The Unit
also welcomes applications from students with pre-secured funding or
who are currently soliciting other scholarship/studentships.
Full details of our programme, and how to apply, are available at:
http://www.gatsby.ucl.ac.uk/teaching/phd/
For further details of research interests please see
http://www.gatsby.ucl.ac.uk/research.html
and the individual faculty webpages at
http://www.gatsby.ucl.ac.uk/members.html
Applications for 2013 entry (commencing late September 2013) should be
received no later than 16th December 2012. Shortlisted applicants
will be invited to attend interview in the week commencing 11th March
2013.
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