A PhD studentship is now available within the Computational Engineering & Design Research Group, School of Engineering Sciences (SES), which will fully cover University tuition fees (at EU/UK level) and provide a tax-free bursary of £12,300 per year, rising annually in line with the UK Government (EPSRC) recommended rate, for a three-year duration.

Further financial support for deserving international students is available.

The PhD student will work in the area of uncertainty quantification and robust design of gas turbine components. The primary focus of the work will be on constructing parametric CAD models to represent geometric variability using measurement data and developing advanced numerical techniques to quantify the resulting variability in performance. The analysis tools developed will be applied to optimize performance robustness in the presence of uncertainty. The nature of the work is primarily computational and analytical. Good programming skills are essential. The student will be required to work with a group of post-doctoral research fellows in a coordinated fashion.
SES is a top 5 rated research school with an international reputation. The successful candidate will work with a group of highly motivated, first class research students in the areas of stochastic mechanics and aerospace design optimization.

The School is a diverse community which is 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, gender, or belief.

Entry requirements
The studentship is available to candidates with the equivalent of a first class or upper second class degree in a relevant discipline, e.g. Mechanical Engineering, Aerospace Engineering, Statistics, Mathematics or a related quantitative discipline.

The studentship is at the standard EPSRC (Engineering and Physical Sciences Research Council) rate, commencing as soon as possible.

In the first instance, potential candidates should contact Professor Andy Keane for further information about the project.
Email: PhD Studentship: High performance and robust systems
Tel: +44 (0)23 80 592944.

How to apply
The application form can be accessed here: http://www.soton.ac.uk/study/postgraduate/pgappforms.html.

Please note that applications will only be considered on receipt of a completed application form.  If applying on-line, please send supporting documents to the following address:
Julia Zimbler,
Postgraduate Admissions, Graduate School Office,
School of Engineering Sciences, Room 5013,
Lanchester Building, University of Southampton,
Highfield, Southampton,
SO17 1BJ, UK.
Please include a personal statement (~300 words) 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 the SES homepage: http://www.soton.ac.uk/ses/ where you can follow links to further information about research groups, research programmes, details of funded opportunities, and studentships. If you are unable to access the application form, please contact Julia Zimbler: Tel: +44-(0)23-8059-3389, Fax: +44-(0)23-8059-5167, Email:

A rolling deadline applies to all studentships and any application for an opportunity that has been recently filled will be considered for any other suitable vacancies within the School.