Supervision: Prof Seb Ourselin/Dr Andrew Melbourne/Prof Neil Marlow
The Translational Imaging Group (TIG) at University College London (UCL) is seeking to fill a doctoral position in computational medical image analysis. This PhD role will use advanced mathematic methods to examine the neuroimaging differences between extreme-preterm born and term-born adolescents and how this relates to neurobehavioural function. The analysis will require the development of specialist engineering tools that will be developed during this PhD and enable a comprehensive measurement of the adolescent neuroimaging phenotype and investigate the adolescent connectome of extreme prematurity.
Birth at extremely low gestational ages is associated with complex effects on brain development that are life-long. There are few studies of the effects of extremely preterm birth extending into adolescence; one of the first is the UK MRC [email protected]
study (www.epicure.ac.uk). This PhD will analyse the long-term appearance of extreme prematurity using Magnetic Resonance (MR) neuroimaging data and psychological outcome data from this cohort, born at 22-25 weeks of gestation, and now at 19 years of age.
The applicant should have:
- A M.Sc. degree in computer science, engineering, biomedical engineering, physics, applied mathematics, or a related area.
- Strong programming skills.
- Strong mathematical and problem solving abilities.
- Strong motivation and enthusiasm towards research.
- Ideally, some experience with medical imaging data.
The studentship comprises of UK/EU fees level and a tax-free stipend of £16,851 per annum. In order to qualify candidates must be UK/EU passport holders or qualify for UCL home fees status. The start date for the position is 26th September 2016.
To apply please send the following to [email protected]
as soon as possible.
- A copy of your CV.
- Contact details of 2 academic references.
- A cover letter stating the reasons you are applying for this studentship.