Dear Mailing List,
Feel free to distribute the advertisement below for a PhD scholarship on an exciting machine learning project as you see fit.
Best wishes,
Daniel King
PhD Candidate in Neurosciences, School of Life and Health Sciences & Aston Brain Centre (SW505), Aston University, Aston Triangle, B4 7ET West Midlands, UK
Email: kingdj@aston.ac.ukmailto:kingdj@aston.ac.uk Twitter: @danieljking8
PhD Studentship - Computational modelling of brain images with lesions and their application to machine learning approaches to predicting child outcomes Life and Health Sciences - Studentships Contract Type:
Fixed Term (for 3 years)
Basis:
Full Time
Closing Date:
23.59 hours BST on Thursday 24 August 2017
Reference:
R170352
Supervisors: Professor Amanda Wood, Dr Jan Novak & Dr Elaine Foley
Applications are invited from highly motivated candidates for a project that will use advanced magnetic resonance imaging (MRI) methods to investigate traumatic brain injury in children. This opportunity is open to UK and EU students who have at least an Upper Second Class Honours degree (2.1) or equivalent in Computational or Physical sciences.
The study will involve assessment of more than 800 children recruited in Birmingham and the overall study will examine Neuroimaging and Neurobehavioural data in nearly 1000 children. Analysis of the multimodal dataset will allow the construction of a model which will predict patient outcome after a traumatic brain injury allowing stratification of treatment and mitigate deficit.
The successful candidate will join a multidisciplinary team who combine neurocognitive assessment with advanced image acquisition and analysis. It is expected that the candidate will have experience in computer programming using languages such as Matlab and/or Python and have some experience of image analysis and matrix manipulation.
Aston University was ranked 5th out of 94 UK Higher Education Institutions for research in Allied Health Professions (REF 2014) and was ranked 1st for research environment. Additional information about research in the School can be found at http://www.aston.ac.uk/lhs/research/. Informal enquiries can be made to Professor Amanda Wood (a.wood4@aston.ac.ukmailto:a.wood4@aston.ac.uk) or Dr Jan Novak (j.novak@aston.ac.ukmailto:j.novak@aston.ac.uk).
Financial Support:
The studentship is open to Home/EU students only and comprises of a tax-free stipend at the 2017/18 RCUK rate of £14,553 p.a. and payment of Home/EU tuition fees only. The studentship is available for three years, subject to satisfactory progress review at the end of the first year, with an anticipated registration date of 1st October 2017.
Application Requirements:
Eligible Applicants should hold at least a Bachelor (Hons.) Degree of either 1st Class/ 2.1 or MSc/MRes in Computer Science, Engineering, Mathematics, Statistics or Physics.
EU Applicants will need to demonstrate adequate proficiency in English Language skills, with a minimum overall score of 93 (Internet Based) (with a minimum score in each section of: R: 18, W: 23, L: 19 and S: 19) in TOEFL or IELTS with minimum marks of 6.0 in each section and an overall band of 6.5.
Informal enquiries should be addressed to Professor Amanda Wood (E-mail: a.wood4@aston.ac.ukmailto:a.wood4@aston.ac.uk; Telephone: +44 (0) 121 204 3593) or Dr Jan Novak (E-mail: j.novak@aston.ac.ukmailto:j.novak@aston.ac.uk; Telephone: +44 (0) 121 (0) 204 3079).
To apply please complete the on-line application form at http://www1.aston.ac.uk/lhs/research/postgraduate-research/apply/, choosing 'Research Full-Time Health Sciences September 2017' quoting the Reference: 'PhD_Wood PROBIt-1' on all applications.
The Closing Date for all Applications is: Thursday 24th August 2017.