Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London, to conduct research related to big data and cyber-security under the supervision of Dr Niall Adams and Dr Nick Heard. The project is based around developing statistical and machine learning methodology for large-scale computer network traffic data.
The successful candidate will hold a PhD in Statistics, Mathematics, or a closely related area and equivalent level of professional qualifications and/or experience. It is essential that the successful candidate has expertise in at least one of the following areas: network data analysis, streaming data analysis and Bayesian statistics. In addition to this the successful candidate will have experience with large-scale data pre-processing, modelling large messy data, knowledge of cyber security and solid knowledge of statistics to support teaching responsibilities. Demonstrable skills or enthusiasm for big data systems, large-scale statistical analysis and processing computer network data are essential. Experience with developing research and producing high-quality outputs, including peer-reviewed papers and software, are similarly essential. Familiarity with modern cloud computing systems, such as HADOOP, expertise in a scripting language, such as python and expertise in a statistical language, such as R, or an imperative programming language, such as C++ is also essential.
In addition, the position includes some teaching responsibilities. Primarily, this will be the delivery of a single elective module on the Statistics MSc programme. Other duties will include supervising undergraduate and masters’ projects. Evidence of teaching experience is therefore important.
It is highly desirable that the successful candidate has the ability to contribute to the research profile of the Department.
For additional information please contact Dr Niall Adams (n.adams@imperial.ac.uk)
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Closing Date: 19 December 2014 (midnight GMT)
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