|From||"Roger Brugge" <firstname.lastname@example.org>|
|Date||Tue, 7 May 2013 10:43:33 +0000|
Forwarded from CLIMLIST... A 36-month Post-doctoral position, is available at EC- Joint Research Centre in Ispra, Italy, applications deadline : 03/06/2013 23:59 CET TOPIC: “Drought Probabilistic / Ensemble Forecasting” Applicants must fill the ESRA on-line form on: <http://recruitment.jrc.ec.europa.eu/call-for-grantholders.php?inst=IES&pid=2044> . A short manual of the ESRA (External Staff Recruitment Application) is available in <http://recruitment.jrc.ec.europa.eu/docs/ESRA%20Terms%20and%20Conditions%20of%20Use%202013-03_v6_FINAL.pdf> Contractual conditions: · General rules governing the JRC Grantholder scheme <http://ec.europa.eu/dgs/jrc/downloads/jrc_grantholder_rules.pdf> · Vademecum for Grantholders <http://ec.europa.eu/dgs/jrc/downloads/jrc_ispra_vademecum_en.pdf> · Draft Employment Contract under Italian Employment Law : <http://ec.europa.eu/dgs/jrc/downloads/jrc_contract_italy_draft_en.pdf> DETAILS on Vacancy JRC’s Climate Risk Management (CRM) Unit is developing methods and tools for monitoring and assessing extreme events (e.g., droughts & floods) and their impacts from regional to global scales. Ongoing work includes the development of a European Drought Observatory (EDO) for drought monitoring, assessment, and forecasting in Europe and the development of similar methods and tools for Africa, Latin America and at the global level. The CRM Drought Team is looking for a candidate to support and further develop our activities on drought forecasting, especially medium to longrange probabilistic /ensemble forecasting. The candidate will apply ensemble forecasts from ECMWF and other forecasting centres for meteorological drought forecasting, but also as input to land surface models that can provide related drought products, such as soil moisture anomalies. The tasks include the development, implementation and testing of forecasting methodologies for selected drought products as well as the provision of meteorological expertise to the team. Qualifications: The ideal candidate should have a Ph.D. in meteorology or closely related disciplines or a minimum of 5 years of research experience in the mentioned fields after the first degree giving access to doctoral studies She/he should have experience in working with meteorological forecasts including ensemble forecasting and should be familiar with handling large meteorological datasets. Demonstrated experience with related programming, specifically in R or similar languages, and scripting tools are essential. Good knowledge of spoken and written English is required. The knowledge of another community language would be an advantage. Relevant publications and presentations should be highlighted.
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