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| Analysis of errors in next generation digital circuits - Industrial Mathematics 6 month Internship for PhD students | ||||||||
| ARM (Cambridge, UK), Industrial Mathematics Knowledge Transfer Network | ||||||||
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The Industrial Mathematics Internships Programme is an EPSRC funded programme which provides students an opportunity to learn about how businesses operate and to get a firsthand experience of working in industry. Further information about the programme is available at www.ktn-internships.net. This opportunity is open to current PhD students enrolled in UK universities only. Students must have completed at least one full year of their PhD but have not yet had their Viva. ARM (www.arm.com) are seeking an academic partner and a PhD student for an Industrial Mathematics Internship. The successful candidate will interact with members of ARM’s R&D staff responsible for the development and who in turn work with product groups investigating the deployment of Razor technology. Reducing power consumption whilst delivering higher performance is recognised as an eco friendly win-win for all. ARM develops the micro-processors which provide the intelligence in many of the gadgets you use every day, and in co-operation with researchers at the University of Michigan, are developing Razor, which requires technology to manage errors occurring in ultra low power digital circuits. Description of proposed work plan: ARM require an able mathematician to distil the Razor engineering know-how ARM has built up, into mathematical models which ultimately will allow system designers to quantify the cost/benefit of applying Razor methodology. The project will involve: working with ARM circuit design engineers to build suitable statistical error occurrence models; working with ARM system engineers to help develop a methodology for applying these models to at least four well known communications related processing functions, FIR, IIR, FFT and MIMO decoding; helping ARM understand how those errors will be observed in the data sets transferred between these functions. The ultimate aim is for this work to contribute towards the numeric modelling framework required by engineers to deploy Razor power saving technology in, for example, the billon unit/year mobile phone radio modems (of which approximately 90% already contain some ARM technology). The requirements for this Internship project is knowledge of statistical techniques. |
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