[Comp-neuro] PhD in Computational Neuroscience at Cambridge University

Máté Lengyel m.lengyel at eng.cam.ac.uk
Thu Oct 29 17:09:56 CET 2009

Computational Neuroscience @ Cambridge University
3 year PhD Programme

The Computational and Biological Learning Lab (CBL) at the Department  
of Engineering uses engineering approaches to understand the brain and  
to develop artificial learning systems. Research in computational  
neuroscience covers learning and memory in perceptual, cognitive, and  
motor systems. PhD students in the group have the opportunity to  
pursue computational studies at the neuronal or behavioural level, or  
experimental studies of human behaviour using state-of-the-art robotic  
and virtual reality interfaces, or combine computational and  
experimental approaches.

The Department of Engineering has recently received the highest  
research rating in the UK of all science departments and provides  
excellent training that includes graduate courses in computational  
neuroscience and machine learning. CBL is a lively and dynamic group  
around 30 people, and encourages interaction between all members of  
the lab, including students, postdocs, and faculty. The entire group  
meets at least three times a week, on top of various other regular  
activities, such as reading and journal clubs. Students in  
computational neuroscience benefit from the strong machine learning  
group within CBL.

Applicants should have
* strong problem solving and mathematical skills,
* a keen interest in neuroscience,
* a relevant first degree, such as Computer Science, Engineering,  
Mathematics, Neuroscience, Physics, Psychology or Statistics.

Students seeking to combine work in neuroscience and machine learning  
are particularly encouraged to apply.

The University has a number of competitive fully-funded studentships  
available each year (to students of any nationality) and CBL also  
welcomes students with pre-secured funding or with other scholarship/ 
studentship applications in progress.

Informal enquiries are welcome to Daniel Wolpert  
(wolpert at eng.cam.ac.uk) or Mate Lengyel (m.lengyel at eng.cam.ac.uk).

For more information on CBL see: http://learning.eng.cam.ac.uk/Public/BlgHome

For further details of how to apply see: http://learning.eng.cam.ac.uk/Public/Graduate

Applications for 2010 entry should be received no later than 15  
December 2009.

Shortlisted applicants will be invited to attend interview in the week  
starting with 11 January 2010.

Mate Lengyel, PhD
Computational and Biological Learning Lab
Cambridge University Engineering Department
Trumpington Street, Cambridge CB2 1PZ, UK
tel: +44 (0)1223 748 532, fax:  +44 (0)1223 332 662
email: m.lengyel at eng.cam.ac.uk
web: www.eng.cam.ac.uk/~m.lengyel

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