D171328R - Research Assistant/Associate (2 posts)
School of Mathematics, Statistics and Physics
Newcastle University, U.K.
http://www.ncl.ac.uk/maths-physics
Closing date: 10 January 2019
We are seeking to appoint two Research Associates/Assistants in Statistics to the project Streaming data modelling for real-time monitoring and forecasting. This project is funded by the Alan Turing Institute (the UK's National Institute for Data Science and Artificial Intelligence) and will be led by a research team from Newcastle University who will develop an international leading capability for the (near) real-time analysis of streaming data. This project will offer the opportunity for collaboration with other Turing projects and researchers at Newcastle and elsewhere. The appointed researchers will develop spatio-temporal models that integrate data sources from streaming data networks, and scalable implementations of existing state-of-the-art sequential Bayesian methods. They will apply these techniques in both smart city and healthcare applications.
Applicants must have a PhD in Statistics or a closely related discipline (awarded or in submission); expertise in Bayesian inference and computationally intensive inferential methodology; track record of research in computational Bayesian statistics and developing efficient programs for statistical computing. They must have excellent statistical computing skills, including familiarity with modern statistical tools and libraries; strong programming skills in R and an efficient compiled language like C/C++ or Java/Scala; excellent written and oral communication skills and skills in effective time management.
The posts are full time and fixed-term for 24 months.
Informal enquiries can be made to Professor Darren Wilkinson ([log in to unmask]) or Dr Andrew Golightly ([log in to unmask]).
Further details, including the application procedure, can be found here:
https://bit.ly/2EkVhF5
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Prof Darren Wilkinson
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http://www.staff.ncl.ac.uk/d.j.wilkinson/
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