MPhil/PhD Scholarship: Â
Ink jet manufacturing technology is positioned to see significant growth in the manufacture of components. This PhD will investigate and develop mathematical models and computational algorithms which will use data from sensors placed on the ink jet printing machine to predict the quality of the parts being fabricated. These models will be embedded into software and validated against test data gathered by our industrial partners.
This PhD provides a unique opportunity for the candidate to work with industry partners which are collaborating with the university on this exciting project, and who aim to use additive manufacturing technologies to fabricate high reliability electronic components that will be used in medical devices and renewable energy (photovoltaic) systems.Â Â
Candidates should ideally have a background in applied mathematics, computational intelligence or engineering (mechanical, electrical, materials, etc) with a strong mathematical and numerical content. Experience with software languages such as C, C++ or Fortran is also required.Â Â Â Â
The successful candidate will receive a Â£13726 bursary (years 2 and 3 linked to RCUK Doctoral Stipend rate) plus a contribution towards tuition fees of up to the equivalent of the Home fee (currently Â£3900 pa).
Applicants must hold a First Class or Upper Second Class Honours Bachelorâs or Masterâs degree (UK or UK equivalent) in a relevant discipline, and have UK or EU citizenship. Â Â
For further information please contact the supervisors: Dr Stoyan Stoyanov 0208 331 8520 (firstname.lastname@example.org), or Professor Chris Bailey, 0208 331 8660 (email: email@example.com)
For additional information about the studentship and links to the application form please click on the ‘Apply’ button below.
The application form should be completed and returned to: firstname.lastname@example.orgÂ and include: a comprehensive CV and a one page covering letter explaining your interest in the project and how it relates to past experience and present motivations. Attachments should be in PDF or Word format.
The closing date for applications is noon on Thursday 14th November 2013.