University of Southampton - School of Engineering Sciences
Ref: SES-74-141
A PhD studentship is available in the Computational Engineering & Design research group, School of Engineering Sciences (SES), which fully covers University tuition fees (at EU/UK level**) and provides a tax-free bursary of £13,600 per year, rising annually in line with the UK Government (EPSRC) recommended rate, for a 3-year duration. **EU/UK fees £3500 p.a., Overseas fee 15,500 p.a. (figures to be confirmed, and subject to annual increase).
UK applicants and EU-eligible applicants are eligible for full funding
Eligible overseas applicants will be expected to pay the fees difference of £12,000 from other sources.
Project description:
There are currently over 200 million people worldwide, and 2 million people in the UK alone, affected by diabetes. Overall, the number of people diagnosed with diabetes and related diseases, such as obesity and cardiovascular disease is rising at an alarming rate, worldwide, prompting the WHO to refer to this as an epidemic. Model systems that can be manipulated and studied at a functional and/or physiological level will help to develop a better understanding of the pathogenesis and treatment of these conditions. The aim of this research is therefore to investigate the application of a range of nonlinear systems modelling techniques to a variety of physiological data sets from a number of clinical and other studies. This will include such data as blood-glucose, lipid and cholesterol levels, vascular flow measurements, insulin/glucose sensitivity tests, age, gender and lifestyle profiling along with the identification of candidate modelling strategies together with analysis of their predictive capabilities. This project, in conjunction with the School of Medicine, would suit a talented numerate graduate able to work alongside clinicians, scientists and engineers in all stages of the study.
The School of Engineering Sciences has an international reputation for research excellence, and is a diverse community, committed to creating an inclusive working and learning environment in which all individuals are equally treated and valued, and can achieve their potential. The School considers all studentship applications in relation to academic criteria and regardless of the individual's race, nationality, gender, or belief.
Entry requirements: Candidates will have a first class or upper second class degree in relevant disciplines, Engineering, Mathematics or Analytical Sciences.
Commencing 1 October 2010
Closing date for applications: a rolling deadline applies.
If you wish to discuss any details of the project informally, please contact Dr Andrew Chipperfield , Computational Engineering/Biomedical Engineering research group, Email: A.J.Chipperfield@Soton.ac.uk , Tel: +44 (0) 2380 59 8344.
How to apply: http://www.soton.ac.uk/ses/courses/pg/pgapply.html
Please read the notes carefully before applying. Applications will only be considered on receipt of a completed application form.
You can attach your supporting documents to the on-line application. If you are unable to do this, please send by email to Julia Zimbler jfz@soton.ac.uk (or send by fax or post if you are unable to send them electronically):
Julia Zimbler, Postgraduate Admissions, Graduate School Office, School of Engineering Sciences, Room 4009, Lanchester Building, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.
Fax: +44 (0) 2380 59 5167.
Please ensure you include a personal statement in your application, stating why you particularly want to do a PhD, why you think you are suited to a research degree and what particularly attracts you to this project.
Please also visit www.soton.ac.uk/ses for further information about the School and its research activities.
