Research Associate

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Detail information about job Research Associate. Terms and conditions vacancy

The School of Informatics, University of Edinburgh, invites applications for a post-doctoral research position on the theme: Efficient Neural Network Code Generation on Mobile GPUs. The position is funded by Huawei Innovation Research Program FLAGSHIP (HIRP FLAGSHIP) project. The successful candidate will be part of a world-leading research group in the area of compilers and will be given the ability to interact directly with industry and to network with other scientists through conferences and other events.

The successful candidate’s main duties will consist of supporting the research activities in the Lift research group and achieve the project's objectives established jointly with Huawei, our industrial partner. The position will be a mix of research and development with the opportunity to take an active role in the co-supervision of the PhD students in the Lift group. The main success criteria will be the publications of high quality scientific papers and the delivery of a working prototype compiler targeted at neural networks.

The Lift language is deeply functional in nature, and the Lift compiler is mostly written in Scala, so the ideal candidate is expected to have a strong background in functional programming. Since our code generator targets OpenCL and we plan to integrate it with the Caffe C++ library, we also expect the ideal candidate to have a good knowledge of C/C++ programming and some familiarities with OpenCL or CUDA. Knowledge about neural networks algorithms is desirable although not strictly necessary as this can be learnt during the course of the project.

The post is available immediately and is fixed-term for up to 24 months, with the possibility of extension.

Salary range: £32,004 - £38,183

Vacancy Ref: 040967

Closing Date: 21 September 2017 at 5pm GMT

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