|From||Caio Augusto dos Santos Coelho <firstname.lastname@example.org>|
|Date||Wed, 30 Jan 2013 11:56:09 -0200|
Postdoctoral research scientist at CPTEC/INPE We are recruiting a postdoctoral research scientist to work at the interface between climate science and applied statistics. The scientist will develop empirical near-term climate predictions and also apply post-processing techniques for combining and calibrating predictions produced by physically-based dynamical models. Verification of these predictions against observations will also be conducted by the scientist. The post is funded by the EU-funded FP7 SPECS project (Seasonal-to-decadal climate Prediction for the improvement of European Climate Services, http://www.specs-fp7.eu/SPECS). The post will be based at CPTEC/INPE, which is one of the 20 SPECS project research partners, in Cachoeira Paulista, SP, Brazil. The Centre for Weather Forecasts and Climate Studies (CPTEC) is part of the Brazilian National Institute for Space Research (INPE). CPTEC is one of the 12 Global Producing Centres for Long Range Forecasts (GPCs) designated by the World Meteorological Organization (WMO, http://www.wmo.int/pages/prog/wcp/wcasp/clips/producers_forecasts.html) and produces weather forecasts and climate predictions through research and operational activities since 1995. Around 300 research, operational, technical support and administrative staff work at CPTEC in Cachoeira Paulista. The working languages at CPTEC are Portuguese and English. For additional information please visit http://www.cptec.inpe.br The post will offer excellent opportunity to collaborate with scientist from leading European climate institutions such as the IC3 climate centre in Barcelona, the Exeter Climate Systems research centre at the University of Exeter, the Dutch national weather service KNMI, the National Centre for Atmospheric Science at the University of Reading, the UK Met Office and ECMWF. Applicants must have a PhD in Meteorology, Oceanography, Physics, Statistics, Mathematics or related discipline. Successful candidates will have demonstrated the ability to perform independent research and publish articles in peer-reviewed journals. Some knowledge in climate science, good knowledge of multivariate statistics, ability to handle large datasets, expertise in programming in the statistical language R, and cross-disciplinary communication skills are highly desirable. GROSS SALARY (before tax deduction in Brazilian Reais): Ranging from R$ 6000 to R$7000 per month, depending on professional experience. CONTRACT PERIOD: Two years (1+1), with possibility of further extension. START DATE: As soon as possible. HOW TO APPLY: Please send your CV, covering letter and the details of three referees including their e-mail addresses to Dr. Caio Coelho, e-mail email@example.com CLOSING DATE: Applications will be accepted until the position is filled. Evaluation of received CVs will start in February 2013. For further information and/or informal queries about this post please contact Dr. Caio Coelho, firstname.lastname@example.org
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