Research Associate in Statistics – Ref:1239870
University College London
Department of Statistical Science
www.ucl.ac.uk/stats
Salary (inclusive of London allowance)
£32,055-£36,690 per annum
This is a superb opportunity for an ambitious postdoctoral research associate who will be required to innovate and develop the theory, methods and algorithms defining a range of statistical models, along with associated inferential machinery necessary to represent then analyse the dynamics of the ‘software population’.
Duties and Responsibilities
Applications are invited for a postdoctoral research associate to work with Professor Mark Girolami on the EPSRC Research Programme grant “A Population Approach to Ubicomp System Design”. The primary aim of this project is to deliver a new science of software structures, with theory and tools that reflect software in real world use, and are able to tackle the complex problem of how to design, support change and appropriation. The key concept is the ‘statistical software population’: a statistical model of the variation observed when we look at how the same initial program has been used and adapted by its users. A statistical population model is kept up to date by logging each instance of a program, analysing how it is used and changed both temporally and spatially.
The post is available from April 2012 (or as soon as possible thereafter) and is funded until 1 December 2014 in the first instance with possible extension of a further two years.
Key Requirements
Candidates should have a PhD (or equivalent qualification) and research background in Statistical Methodology or Machine Learning. It is essential that the successful candidate has extensive experience of Computational Statistics, Statistical Modelling, and Bayesian methods in Pattern Analysis.
Further Details
Informal enquiries may be addressed to Professor Mark Girolami, email: m.girolami@ucl.ac.uk
Department of Statistical Science
The Computational Statistics research group at UCL offers a vibrant and intellectually stimulating environment for individuals who wish to develop their careers in a world class research environment. UCL is ranked among the top ten research institutions worldwide and has unique strengths in Computational Statistics and Machine Learning. Together with the Gatsby Institute for Computational Neuroscience at UCL, the Departments of Statistical Science and Computer Science form the Centre for Computational Statistics and Machine Learning, (http://www.csml.ucl.ac.uk/) which is part of the European network PASCAL (http://www.pascal-network.org/).
For any queries regarding the vacancy or the application process please contact Dr Russell Evans, email: russell.evans@ucl.ac.uk
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