|Date||Fri, 30 Oct 2009 11:29:33 -0000|
Please find below details of a NERC Research Assistant post and PhD studentship available at the LSE (Centre for the Analysis of Time Series/Department of Statistics and Grantham Research Institute on Climate Change and the Environment): Research Assistant from £26,194 - £30,343 (Ref: RES/09/10) Fixed term to 31st December 2012 Applications are invited for the position of research assistant on a NERC funded research project "End-to-end Quantification of Uncertainty for Impacts Prediction" (EQUIP), a collaborative project involving eleven UK Universities and research institutions. The appointee will work on new approaches for extracting decision-relevant information from climate models. He/she will work closely with users of climate, and climate model, information both within the EQUIP project and beyond in the insurance, water and energy sectors. Activities will include: * the identification and evaluation of existing methods to account for climate variability and change in the decision making process, * the development of new methods for determining the decision relevant information content of climate models in a variety of user-determined applications, * the development of methods for combining information from climate models, data-driven models and process understanding to support user-defined decisions, and * the development of new approaches to the design of ensemble prediction systems that focus on information content and utility. The appointee will be based in the Centre for the Analysis of Time Series in the Department of Statistics at the London School of Economics. Statistical methods for the identification of robust and relevant information will form the core of the work. The appointee will work closely with statisticians, physicists, specialists in climate change impacts and adaptation, and users of climate information. There will be close collaboration with other researchers in the EQUIP project across the UK as well as with members of CATS and the Grantham Research Institute on Climate Change and the Environment at the LSE. Candidates should have a PhD or equivalent in statistics, mathematics, computer science, physics or a related discipline. Programming skills and experience in data processing and analysis are required. Previous experience in climate science, non-linear systems and decision making would be beneficial. Meteorological expertise would be a bonus. Further details of the project can be found at: http://homepages.see.leeds.ac.uk/~earac/equip.html#Vacancies <http://homepages.see.leeds.ac.uk/%7Eearac/equip.html#Vacancies> A full application pack can be obtained at www.lse.ac.uk/jobsatLSE If you cannot download the pack, email firstname.lastname@example.org or call 0207 955 7859 quoting the relevant reference number above. Closing date for receipt of applications: 7th December 2009. Interviews are expected to take place in January 2010. Postgraduate Studentship: Relating Climate Models and Reality A NERC funded PhD studentship is currently available at the Centre for the Analysis of Time Series and the Grantham Research Institute on Climate Change and the Environment. The student will study the relationship between models and reality in the context of climate change. The research will work towards the design of ensemble experiments which can evaluate the spatial and temporal scales on which complex climate models can potentially provide quantitative information about the future real world climate. In constructing such a design the student will use simple non-linear systems, and simple and intermediate complexity climate models. On weather forecasting timescales techniques have been developed to quantify how long a model can remain close to, shadow, observations. Here the aim is to look at the application of such techniques to climate and climate change, to illustrate and refine the methods with simple models, and to work towards an experimental design which may be applicable to complex climate models, probably within the context of a distributed computing methodology. Such an approach has the potential to clarify where and how model based forecasts can add value to real world decisions and to guide and evaluate the improvement of climate models. The studentship is part of a wider project attempting to quantify the likelihood of a shut down in the Meridional Overturning Circulation (MOC) in the North Atlantic. If appropriate models of the MOC will form part of the research. The project will be supervised by David Stainforth and Leonard Smith. The studentship is available from February 2010. It is funded by the Natural Environment Research Council and in order to be eligible for full fees and living allowance students must meet the UK residency requirement. EU citizens who do not meet this requirement may still apply for a fees only award. To apply please send your CV and covering letter explaining your interest and expertise relevant to this subject to Lyn Grove, email@example.com Closing date for applications for the PhD studentship is 30th November 2009 Short-listed candidates will be invited to attend an informal interview and if successful advised about making a formal application to LSE. With regards Lyn Lyn Grove| Centre Manager | Centre for the Analysis of Time Series (CATS) & Munich Re Programme Administrator | Centre for Climate Change Economics and Policy within the Grantham Research Institute on Climate Change and the Environment London School of Economics and Political Science Tel: +44 (0)20 7955 6015 | Fax: +44 (0)20 7955 7416 http://www.lse.ac.uk/collections/cats/ http://www.cccep.ac.uk/Default.htm Please access the attached hyperlink for an important electronic communications disclaimer: http://www.lse.ac.uk/collections/secretariat/legal/disclaimer.htm
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