|Funding for:||UK Students, EU Students|
|Funding amount:||Not Specified|
|Placed On:||22nd August 2019|
|Closes:||15th September 2019|
Traumatic brain injury (TBI) is a leading cause of death and disability in children and young adults globally. Treatment is determined by clinicians on the basis of clinical characteristics and imaging. However, the effects of trauma to the brain are not static; in fact, brain injury usually evolves during the first hours to weeks after trauma. Decompressive craniectomy (DC) is a procedure whereby part of the skull is removed and the underlying dura mater is opened. It is often used for the management of escalating brain oedema and elevated intracranial pressure as it can provide additional space for the swollen brain.
The project aims to develop our understanding of the mechanisms contributing to evolution of brain damage to guide clinical management of TBI. Attention will be focused on the deformation of the brain tissue, following TBI and craniectomy, developing new mechanics models of brain deformation. The study will take advantage of a substantial body of clinical data and could use machine learning techniques to enhance traditional data analysis approaches.
The project will be jointly supervised by Professor Sutcliffe in Engineering and Dr Kolias, Clinical Lecturer in Neurosurgery in the Department of Clinical Neurosciences.
If you are interested in applying for this studentship, please email Prof. Sutcliffe (firstname.lastname@example.org) by 15 September with an expression of interest, including a summary CV and a paragraph why you are interested in this project and why your academic background makes you a good candidate.
Applicants who have submitted an expression of interest will be contacted with the relevant information for submitting a full application.
Please note that any offer of funding will be conditional on securing a place as a PhD student for a January 2020 start. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. Note that there is a £65 fee for PhD applications. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg.
The final deadline for PhD applications is 4 October 2019, although it is advisable to apply earlier than this.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society
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