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Research Associate in Dynamic Binary Translation (Fixed Term)


Fixed-term: The funds for this post are available for 36 months.

* The project *

Applications are invited for a Research Associate to work on Dynamic Binary Translation.

Our research group focuses on a number of approaches to realise performance gains from program parallelisation. We are developing schemes to identify, realise and exploit multiple forms of parallelism directly from application binaries, using a dynamic binary translator (DBT). Using existing tools, such as DynamoRIO (http://dynamorio.org/) and Mambo (https://github.com/beehive-lab/mambo), we will implement optimisations and transformations to increase the performance of the underlying DBT, specialisation and extensions to increase functionality, and the machinery to exploit parallelism on top.

The successful candidate will complement our existing research in these directions. They will analyse, develop and implement features and optimisations that will improve the performance and utility of our software tools. They will pursue research into dynamic binary modification and translation alongside parallelisation approaches. The aim is to publish articles on the techniques developed and to open-source all software during the course of the project.

Our group is a growing team of PostDocs and PhD students investigating performance, reliability and energy-efficiency in future many-core systems. The position is within the Computer Architecture Research Group at the University of Cambridge Computer Laboratory in a joint project with Cancer Research UK and ARM. Collaboration with researchers at other universities and industry around the world is encouraged and there are strong links within the group with local companies.

* Candidates *

We seek candidates with a strong background in Computer Science, with an interest in binary translation or just-in-time compilation. Candidates should hold a PhD or have equivalent experience, though candidates who are close to submitting a PhD will be considered. Knowledge of a related area would be advantageous. Candidates should provide evidence of relevant work, where possible, and must demonstrate a desire to perform internationally-leading research and to publish in the top conferences in the area.

* More information *

The funds are available for a start date as soon as possible but some flexibility on this can be arranged.

Further details may be obtained from Dr Timothy Jones, email timothy.jones@cl.cam.ac.uk

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure you upload your Curriculum Vitae (CV) and provide a short (2 page) proposal of the research that you wish to undertake during the project. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR12960 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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