Connectionists: PhD in Cognitive Neuroscience of Decision Making and Learning

Neil Davey N.Davey at herts.ac.uk
Tue May 20 13:46:38 EDT 2008


UNIVERSITY OF HERTFORDSHIRE
HEALTH AND HUMAN SCIENCES RESEARCH INSTITUTE
SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE


PhD in Cognitive Neuroscience of Decision Making and Learning

Applications are invited from candidates with good first degrees in  
one of: Cognitive Science, Neuroscience, Cognitive Psychology,  
Mathematics, Computer Science or related discipline (such as joint  
honours).

This PhD studentship is jointly supported by research staff in the  
Schools of Psychology and Computer Science. The programme of research  
will have a primary focus on computational modelling of decision  
making / reinforcement learning, with the objective of generating  
results which would then inform experimental studies in human  
cognition, coupled with functional brain imaging (fMRI).
Applicants should have a First or 2:1 class BSc (Hons) in Cognitive  
Science / Neuroscience / Cognitive Psychology / Maths / Computer  
Science or related discipline (e.g. joint honours) and exposure to  
programming (preferably in Matlab, C++ or similar).
The research studentship award from the University will be equivalent  
to £12,600 per annum bursary plus the payment of the standard UK  
student fees.


For further information and an application form, contact Ms Jill  
Kilvington, Research Administrator, Health and Human Science Research  
Institute, Wright Building, University of Hertfordshire, College Lane,  
Hatfield, Herts AL10 9AB,
Tel: 01707 285269  Fax: 01707 284170 or email: j.kilvington at herts.ac.uk

To discuss the research programme in more detail then either contact  
Dr. John Done ( d.j.done at herts.ac.uk, +44(0)1707 286292 or Dr Neil  
Davey ( n.davey at herts.ac.uk , +44 (0) 1707284310 ) .

The closing date for applications is 27/06/2008.  Interviews will take  
place between 21st July and 1st August. Start date will be the  
beginning of the 2008/9 academic year i.e. end Sept/early Oct.
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