AutoTRIAGE: a clinical, computational and biomechanical investigation of the feasibility of using vehicular event data recorders for assessing head trauma severity in collisions

(4 year MRes + PhD studentship)

This project is on offer in the Imperial College EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health. See https://www.findaphd.com/search/PhDDetails.aspx?CAID=2386&LID=112 for all projects available.

Supervisors: Mazdak Ghajari (Medicine), David Sharp (Medicine), Philip Martin (Transport Research Laboratory), Mark Wilson (Medicine)

Traumatic brain injury (TBI) is a leading injury type amongst vehicle occupants, with serious cases requiring the deployment of substantial emergency service resources. The purpose of this research is to explore the feasibility of using data recorded by the embedded sensors on a vehicle to instantaneously indicate the severity of TBI experienced in a collision and rapidly direct the deployment of emergency service resources, maximising the likelihood of a positive outcome. The implementation of AutoTRIAGE within vehicles has the potential to significantly reduce the impact of road traffic collisions on the number of deaths and serious injuries.

NOTE: This project is jointly funded and supervised by Transport Research Laboratory (TRL) https://trl.co.uk/. The successful candidate, while hosted at Imperial College London, will also spend part of their research time at TRL.

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 be expecting) 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.