Fitting GPU Optimization for materials data

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentship for the project “Fitting GPU Optimization for materials data” starting 1^st October 2021. Successful applicants will receive an annual stipend (bursary) of £17,609, including inner London weighting, plus payment of their full-time tuition fees for a period of 36 months (3 years). 

The majority of studentships are available to applicants who are eligible for home (UK) tuition fees but a limited number are available to overseas and EU nationals who meet the academic entry criteria.

The Project

You will join the internationally recognised researchers in the Department of Electronic and Electrical Engineering. This exciting research project is focused on developing advanced data fitting algorithms for the ISIS Neutron and Muon facility at Rutherford Appleton Laboratory, Didcot. Data fitting is central to the generation of meaningful results which users of the facility depend on operationally. This project will investigate how the current approach to data fitting can be advanced by benchmarking and prototyping multi-process fitting algorithms on modern GPU architectures and creating a design which can be used to improve data fitting in production.

Please contact Dr Liliana Teodorescu at [Email Address Removed] to arrange an informal discussion about the project.

Skills and Experience

Applicants will be required to demonstrate their ability to develop computer programs using modern programming languages and technologies, and understand fundamental data processing and analysis concepts. You should be highly motivated, able to work independently as well as in a team, collaborate with others and have good communication skills.

Academic Entry Criteria

You will have or be expected to receive a 1^st class or 2:1 honours degree in Computer Systems Engineering, Computer Science, other Computing or Engineering disciplines, or a similar discipline. A masters degree is not required but may be an advantage.   If applicable, you should hold an English Language proficiency qualification of or equivalent to an overall score of IELTS 6.5 (minimum 6.0 in all sections).

How to Apply

Please submit the documents below) to [Email Address Removed] by Noon on Friday 4 June 2021.  Interviews will take place in June/July 2021.

• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Your English Language qualification, if appropriate;
• Contact details for TWO referees, one of which can be a member of Brunel University academic staff.

Remember to state the title of the project at the top of your personal statement.