Buongiorno,
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 ([hidden email]) o a Roberto Boca ([hidden email],
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 2011
Background:
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;
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