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Applications are invited for a PhD position at the University of Nottingham to work on the "Statistical modelling of carbon capture and transport" using Bayesian methodology and machine learning tools, with a particular focus on uncertainty quantification. The successful candidate will work along side a PDRA funded by a UK Carbon Capture and Storage grant, and will work on some of the more fundamental methodological aspects of the project. Please see the advert below: *Statistical modelling of carbon capture and transport.* Supervised by Dr Richard Graham, Dr Richard Wilkinson and Dr Simon Preston Carbon capture and storage is a crucial technology in the international efforts to mitigate climate change. Essential to this program is accurate modelling of the physical properties of carbon dioxide mixtures. Currently models are parametric, are fitted in an ad-hoc way and have no uncertainty quantification. This project will develop Monte-Carlo approaches for Bayesian parameter estimation, and will use modern machine-learning methods to produce non-parametric models. Quantification of uncertainty will also be an essential element. The project will develop a flexible methodology for carbon dioxide modelling, tailored to particular applications. We will have access to novel, high quality measurements from experiments ongoing at the University of Nottingham. This project addresses an urgent industrial need and we have numerous active collaborations with industrial partners who are eager to use new models for the design, operation and optimisation of the UK's carbon capture infrastructure. The project has a confirmed studentship from the School of Mathematical Sciences. We require an enthusiastic graduate with a 1st class degree in Mathematics (in exceptional circumstances a 2(i) class degree can be considered), preferably of the MMath/MSc level. A candidate with a solid background in Probability and Statistics and/or good programming skills will have an advantage. The studentship is available from September/October 2013 and provides an annual stipend at the standard EPSRC rate (currently £13,590 per annum) and full payment of Home/EU Tuition Fees. Students must meet the EPSRC eligibility criteria. The studentship period will depend on the training needs of the successful applicant. Informal enquiries should be addressed to Dr Richard Graham, email: [log in to unmask] To apply, please access: https://my.nottingham.ac.uk/pgapps/welcome/. This studentship is open until filled. Early application is strongly encouraged. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system: you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.