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Developing Synthetic Models of the Cochlea to Investigate Cochlear Implant Stimulation Spread

  • Full or part time
  • Application Deadline
    Tuesday, December 03, 2019
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

(PhD- suitable for engineering, materials, chemical engineering and biomedical backgrounds)

(co-supervised by Professor George Malliaras, Dr Debi Vickers and Dr Bob Carlyon)

Cochlear implant results are severely impacted by current and stimulation spread inside the cochlea. This makes it very difficult to selectively stimulate different parts of the auditory nerve for to achieve frequency selectivity. This project will use biomaterials to 3D print cochlear implant models that are optimized to have similar electrical impedances to living cochlear bones, with embedded sensors to measure current and EMF spread profiles. This platform will be used to develop new methods of electrical stimulation from cochlear implants that allow for more sophisticated focusing of electrical activity to increase the frequency resolution of current cochlear implants. We aim to also seed these structures with auditory spiral ganglion cells (separate PhD) and inflammatory cells to look in-vitro at the complex interaction between electrical stimulation, neural activation and foreign body inflammatory reactions.

Funding Notes

Funding deadline is 3rd December 2019 for start in October 2020. When applying indicate on the application the funding options (GATES USA *deadline 9/10/19*, Gates Cambridge or other Cambridge Funders). Home/EU and International applications are all considered for funding.

References

Applicants can only be considered if they apply via the applicant portal which can be found at this link; https://www.graduate.study.cam.ac.uk/ please do not send in an enquiry and CV as this will not be considered an application.

How good is research at University of Cambridge in Clinical Medicine?

FTE Category A staff submitted: 192.05

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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