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Research Associate - PHANTOM

Computer Science
Based at
University of York - Heslington Campus
Hours of work
Contract status
Fixed term
31,076 - Per year
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Role Description

This full-time Research Fellow post is within the PHANTOM project, funded by the EU Horizon 2020 programme, running for 3 years from 1st December 2015 to 30th November 2018. The PHANTOM project  aims is to deliver an integrated cross-layer (hardware and system software/programming environment), multi-objective and cross-application approach that will enable next generation heterogeneousparallel and low-power computing systems, while hiding the complexity of computing hardware from the programmer, thus fostering productivity in programming.

The PHANTOM project is a collaborative project, involving 8 academic and industrial partners. Within PHANTOM the main interest of York is the programming model, implementation upon heterogeneous FPGA based platforms, and multi-objective optimization of the resultant system. The responsibilities for this post will include FPGA, software and Linux development; porting case study software developed by external collaborators to be compatible with local systems; collection of evaluation data for presentation to stakeholders.  The post will also necessitate involvement in, and collaboration with, the wider research activities of the Real-Time Research group (where the post is based).

You must have, or be working towards, a PhD in Computer Science or have equivalent experience.  You will have knowledge of a range of research techniques and methodologies appropriate to embedded real-time systems (including languages, compilers, implementation on FPGA), and experience in Linux kernel development.

With well developed analytical skills, you will have the ability to conduct individual and collaborative research projects, and be able to write up research work for publication.  In addition you will have highly developed communication skills to engage effectively with a wide ranging audience, and be able to make presentations at conferences and engage in public dissemination.

 The post is available from 1 October 2017 until 30 November 2018.

For further information please contact Professor Neil Audsley, +44 (01904) 325571 or email

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