Connectionists: Gatsby PhD Programme

[Peter Dayan]

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 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 University College London (UCL), including Anatomy,
Computer Science, Functional Imaging, Physics, Physiology, Psychology,
Neurology, Ophthalmology and Statistics, with the cross-faculty Centre
for Computational Statistics and Machine Learning, and also with other
UK and overseas universities notably, at the present time, with
Cambridge in the UK, Columbia, New York and ENS, Paris.

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.

A number of competitive fully-funded studentships are available each
year (to students of any nationality) and the Unit also welcomes
students with pre-secured funding or with other
scholarship/studentship applications in progress.
 
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
 
Applications for 2008 entry (commencing late September 2008) should be
received no later than 6 January 2008.  Shortlisted applicants will be
invited to attend interview in the week commencing 18 February 2008.