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[AUDITORY] PhD position in computational neuroscience available for project "Learning to hear with plasticity across multiple timescales" at Imperial College London



A PhD position is available as part of the Neurotechnology centre for doctoral training at Imperial College London, jointly supervised by Dan Goodman, Paul Chadderton, Claudia Clopath and in collaboration with Agnes Leger:
- http://neural-reckoning.org/
- http://www.bg.ic.ac.uk/research/p.chadderton/ChaddertonLab/Home.html
- http://www.bg.ic.ac.uk/research/c.clopath/
- http://www.psych-sci.manchester.ac.uk/staff/Agnes.Leger

The title of the project is "Learning to hear with plasticity across multiple timescales", and it aims at understanding how the brain adapts and learns to cope with difficult listening situations (e.g. a crowded pub or restaurant), and applying this to developing new technology (e.g. for speech recognition). It will involve (1) developing mathematical and computational models of hearing and neural adaptation and plasticity, (2) experimental testing (including animal electrophysiology and human psychoacoustics), and (3) technology development for speech recognition, hearing aids and cochlear implants.

The candidate should be willing to learn experimental techniques (animal electrophysiology and/or human psychophysics), but is not required to have any previous experience.

The PhD programme is fully funded for four years, of which the first year is a taught MRes course. In addition to working within the centre, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial (recently ranked 8th in the world in the QS world university rankings) and in the many neuroscience groups in London.

Note that unfortunately funding for non-UK/EU residents is quite limited and there will therefore be stronger competition for these places.

For more details on this project, the centre, and how to apply:

http://www.imperial.ac.uk/neurotechnology/cdt/projects/hear_with_plasticity/

Dan Goodman