2 Postdoctoral Research Associates in Machine Learning based Parallelisation for Heterogeneous multi-cores

The School of Informatics, University of Edinburgh invites applications for two posts of Research Associate on the project "A
Predictive Modelling based Approach to Portable Parallel Compilation for Heterogeneous Multi-cores". This is an EPSRC funded project in the area of applying machine learning to parallelisation. This project is a collaboration between the Compiler group headed by Prof Michael O'Boyle and ARM UK.

The Research Associates (RAs) will be expected to work on a variety of areas including the development of new techniques for mapping parallelism using machine learning; investigating dynamic compilation in the prescence of workload and prototyping OpenCL (or similar) implementations where appropriate. For one of the positions a track record in using machine learning for parallelisation and mapping is essential.

Both positions are research rather development orientated. The potential for publishing at the highest level is important. Applicants for the post should normally hold a PhD or be near completion, in a relevant area. They should be capable of developing new
theory and contributing to tool development. Knowledge and experience of using compilers such as LLVM, OpenCL or JIKES is highly desirable. Candiates with experience in dynamic compilation or related ares are also invited to apply.

The start date is flexible but can be as early as 1 September 2010
Fixed Term: 24 months (in the first instance with a possibility of extension)
Salary Scale: £29,853 - £35,646 pa
Please Quote Ref: 3013099
Closing Date: Monday 16th August 2010
Further details:
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3013099