Biologically inspired computation for real-time motor learning

(4 year MRes + PhD studentship)

This project is one of 11 studentships on offer in the Imperial College EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health

Supervisors: Paul Chadderton (Bioengineering), Claudia Clopath (Bioengineering)

An important area of robotics research is focused on developing machines that can learn and adapt to changing environments as efficiently as animals. Biological principles underlying the acquisition of motor skills are likely to inspire these new technologies. The aim of our project is to characterise computational principles of motor learning in real time using novel neurophysiological data from a uniquely tractable and well-controlled system, the whisker circuitry of the cerebellar cortex. Neural recordings will reveal how the brain adapts during learning, and will then be used to develop and apply a biologically constrained computational model in an actively sensing robot.

The CDT programme is not a standard PhD programme. Throughout the 4 years, there is considerable emphasis upon multidisciplinary and transferable skills, through centre activities beyond the individual research project. The programme cannot be taken without the first (MRes Neurotechnology) year, as it is an integral part of the overall programme.

Applicants should have (or expect to obtain) a first or upper second class degree (or non-UK equivalent) in an engineering or physical science subject. Students with a biological and medical sciences background may be considered, but candidates must have sufficient quantitative skills to thrive in the programme. You should be looking for a challenging, multi-disciplinary PhD at the interface of neuroscience and engineering.

To apply online, visit www.imperial.ac.uk/neurotechnology/cdt/apply/

If you have questions or would like further information about the project, we encourage you to contact the supervisors directly before making your formal application.