[Comp-neuro] PhD position in decoding algorithms for PNS - closing soon

Simon Schultz s.schultz at imperial.ac.uk
Wed Jan 28 13:34:18 CET 2015

The following PhD studentship (part of the new Centre for Doctoral 
Training in Neurotechnology at Imperial College) is closing very soon 
(30th January). I would like to encourage applicants with good 
theoretical skills (e.g. math/physics/electrical-engineering) to apply.

Peripheral nerve decoding algorithms for bioelectronic medicines
Simon Schultz (Bioengineering), Nick Jones (Maths), Hannah Tipney (GSK)

Bioelectronic medicine, in which devices connected to groups of 
individual nerve fibres are used to control the patterns of electrical 
signals to restore health to organs and biological functions, has been 
suggested to have the potential to make major advances in the treatment 
of conditions resistant to drugs, including diabetes, obesity, 
hypertension and pulmonary diseases (Famm et al, Nature 496:159-61, 
2013). The development of bioelectronic medicines, however, is 
contingent upon the existence of suitable technology for monitoring and 
perturbing activity in peripheral nerve fibres; in particular, being 
able to “read out” and interpret signals carried by a peripheral nerve 
fibre is an essential milestone.

In this project, we will develop decoding algorithms capable of reading 
out both continuous physiological signals, and discrete “events”, from 
peripheral nervous system (PNS) electrical signals. These algorithms 
will be applied to a variety of datasets collected by members of a 
research network in Bioelectronic Medicines that has been established by 
GlaxoSmithKline, plc.

The project will involve two phases. The first year will comprise an 
MRes Project, in which the student will gain a deep understanding of the 
different approaches that can be taken to decoding physiological 
signals, testing algorithms on simulated data, which will be generated 
in the course of the project; we expect this computational model of a 
peripheral nerve to be a major output of the MRes year. In the following 
years, and exploiting and advancing a new signal processing 
architecture, the student will develop refined decoding algorithms 
optimised for use with peripheral nerve signals at several spatial 
scales, and will work with research groups across the GSK network to 
apply these algorithms to real PNS datasets.

To apply, see the Centre for Neurotechnology website:

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