Buongiorno a tutti
segnalo quest'offerta di lavoro per esperti GIS (GRASS in particolare) presso 
la FOREST action (cfr. http://forest.jrc.ec.europa.eu/) del JRC di Ispra 
(VA).Le candidature vanno comunicate a Roberto Boca 
(roberto.b...@ext.jrc.ec.europa.eu, cell. 393 9295121) entro mercoledi' 27 
aprile 2011.
Cordiali saluti,Diego Magni


Duration: 400 working days (200 initially and the 200 more upon renewal)
starting date: late May or early June 2011
Background: The overall objective of the work is to assist the LMNHU FOREST 
staff in the analysis of European datasets in the areas of forest species 
distribution, forest monitoring, forest biodiversity, and fire incidence 
mapping. The main tasks are as follows: Statistical validation of datasets: The 
data cover the areas of forest species distribution, forest monitoring, forest 
biodiversity and forest fire incidence.Spatial analysis and mapping of 
datasets: The work involves the spatial analysis of datasets regarding e.g. 
randomness and autocorrelation, and the subsequent mapping of the datasets 
according to European standards. It requires the use of statistical and 
geo-statistical tools to analyze spatial/temporal correlations of the datasets 
and the use of geographic information systems for the actual mapping of the 
results.Time series analysis of datasets to detect noticeable trends: Since the 
datasets in the different databases handled in
 the FOREST Action go back to the 1980s, the work in this task consists in the 
support to the FOREST staff regarding time series analysis of the data since 
the 1980s until 2008. The work requires the further analysis of the data 
according to future scenarios and the detection of noticeable trends in 
time.Analysis and modeling of data in relation to future climate 
change scenarios: the work in this area requires the spatial and temporal 
analysis of data and their projection according to foreseen climate change 
scenarios. It requires the use of statistical and geo-statistical tools and 
geographic information systems. Requirements: 4 year university degree and a 
minimum of 9 years of professional experience (or 13 years of experience 
without university degree);Knowledge of programming languages in statistics and 
spatial analysis (e.g. SPSS, S+, R, GRASS);High-level skills in use and 
programming of GIS software (e.g. ARC GIS, ARC-AML);Experience with
 data analysis and quality control;Spatial/temporal statistical data 
analysis;Excellent knowledge of written English and good knowledge of spoken 
English.             Any of the following would also be an asset: Knowledge of 
data management in a Linux environment;Knowledge of Italian or other official 
EU language;Previous experience working in an international environment. 
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