[Comp-neuro] PhD study at the Gatsby Computational Neuroscience Unit, UCL

Maneesh Sahani maneesh at gerard.gatsby.ucl.ac.uk
Mon Oct 27 10:57:09 CET 2008


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 UCL (University College London), 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 and Columbia, New York.

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.  

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 2009 entry (commencing late September 2009) should be
received no later than 11 January 2009.  Shortlisted applicants will be
invited to attend interview in the week commencing 9 March 2009.



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