Gatsby 4-year PhD Programme @ UCL

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The Punisher
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Gatsby 4-year PhD Programme @ UCL

Postby The Punisher » Fri Oct 29, 2010 8:38 pm

Gatsby Computational Neuroscience Unit, UCL
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 (University College London), including Anatomy,
Computer Science, Functional Imaging, Physics, Physiology, Psychology,
Neurology, Ophthalmology and Statistics, and in the cross-faculty
Centre for Computational Statistics and Machine Learning.

The Unit always 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 2011 entry (commencing late September 2011) should be
received no later than 7th January 2011. Shortlisted applicants will be
invited to attend interview in the week commencing 21st March 2011.

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