Buongiorno,
Mi sono accorto di un errore di battitura nell’e-mail con oggetto “R: [AIAT] Offerta di lavoro presso JRC Ispra” inviata precedentemente: l’indirizzo e-mail corretto di Giorgio Frigerio e’ gfrigerio@arcadiasit.it (senza punto tra “g” e “frigerio”).
Mi scuso per l’errore.
Buona giornata,
Diego Magni
Ing. Diego Magni
->-------------------------
via Promessi Sposi 11
Loc. Pagnano
23807 Merate (LC)
Tel/Fax: 039 9908082
E-mail: diegomagni@yahoo.it
— Mar 3/5/11, Diego Magni diegomagni@yahoo.it ha scritto:
Da: Diego Magni diegomagni@yahoo.it
Oggetto: R: [Gfoss] Offerta di lavoro presso JRC Ispra
A: gfoss@lists.gfoss.it
Data: Martedì 3 maggio 2011, 14:16Buongiorno,
comunico che l’offerta di lavoro alla FOREST action del JRC di Ispra, della quale riporto qui sotto la descrizione, e’ ancora valida.
Faccio inoltre presente che i 9 anni di esperienza e la conoscenza di GRASS sono requisiti fondamentali.
Potete comunicare la vostra candidatura a Giorgio Frigerio (g.frigerio@arcadiasit.it) o a Roberto Boca (roberto.boca@ext.jrc.ec.europa.eu, cell. 393 9295121).
In bocca al lupo.
Saluti,Diego Magni
Duration: 400 working days (200 initially and the 200 more upon renewal)
Starting date: late May or early June 2011Background:
The overall objective of the work is to assist the 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);
- Important: Knowledge of programming languages in statistics and spatial analysis using GRASS;
- High-level skills in use of GIS software (e.g. ARC GIS, ARC-AML);
- Experience with data analysis and quality control;
- Spatial/temporal statistical data analysis;
- knowledge of English.
Any of the following would also be an asset:
- Knowledge of data management in a Linux environment;