post-doc position neuronal modelling/interfacing

[Phil Husbands]

Post-doctoral position, University of Sussex
Non-linear media computing

A three year post is available (to start ASAP) to work on an exciting
project on non-linear media computing in The Centre for Computational
Neuroscience and Robotics, University of Sussex
(www.informatics.sussex.ac.uk/ccnr/ ). Suitable for a talented researcher
with experience in one or more of the following areas: computational
neuroscience, machine learning, evolutionary computing, neuron/silicon
interfacing. Good computational skills are required, ability in mathematics 
and electronics is desirable.

This post is part of a multidisciplinary project, in collaboration with the 
University of West of England and Leeds University, in which computer
scientists, neuroscientists, chemists, cell biologists and engineers will
study information processing in chemical and (biological) neuronal
non-linear media in order to try and determine fundamental principles for
the design of  novel non-linear media computers and to abstract novel
computational mechanisms. The post-doc will be involved in computational
and mathematical modelling, particularly of  NO volume signalling, and
investigating the efficacy of evolutionary algorithms for designing
cultured neuronal network structures to create a computing resource capable 
of satisfying a given objective.

The successful applicant will work very closely with a neuroscience
post-doc as part of a team led by Profs. Phil Husbands and Michael O’Shea.
Applicants should email a full CV to Phil Husbands (philh at sussex.ac.uk) by
November 15th 2004. The project is funded by EPSRC. Starting salary approx.
£27,000  depending on experience.