The group works on mathematical models of the brain using a combination of methods from probabilistic machine learning, information theory, dynamical systems, and statistical physics. We are particularly interested in understanding how humans and other animals learn about their environments and use this knowledge flexibly to make predictions and guide their future decisions. We collaborate very closely with experimental neuroscience groups providing us the opportunity to test the predictions of our theories.
Applicants must 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.
Applicants should email the following in pdf or plain text to the CBL administrator Diane Unwin <dsu21@cam.ac.uk>:
- their CV
- a statement of research interests
- transcript(s) for previous degrees
and arrange for three academic referees to send us letters of reference. Pre-application enquires should be addressed to Mate Lengyel.
The deadline for receiving applications is 21 October 2011. Shortlisted applicants will be interviewed on 1-2 November 2011. The position is offered for a period of three years, starting on 1 January 2012.
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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@eng.cam.ac.uk
web: www.eng.cam.ac.uk/~m.lengyel
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