The University of Buenos Aires-Argentina- Laboratory of remote sensing and
regional analysis <http://www.agro.uba.ar/laboratorios/lart/>, School of
Agronomy is seeking a postdoctoral research associate to conduct analyses
in order to understand: 1) the spatial and temporal variation of forage
production and quality, 2) increase capabilities to estimate both variables
with remote sensing, and 3) create prospective models of forage production.

The successful candidate will join an inter-disciplinary research group
headed by Dr. Martín Oesterheld <http://www.agro.uba.ar/users/oesterhe/>,
with members from the national research council of Argentina (CONICET
<http://www.conicet.gov.ar/wp-signup.php?new=conicet.gov.ar>), a rancher’s
non-profit association (AACREA <http://www.aacrea.org.ar/>) and the
national agriculture institute (INTA <http://inta.gob.ar/>). The ongoing
researchers have more than ten-year research experience across the main
rangeland areas from Argentina. The postdoctoral research associate will
work on the synthesis of remote sensing forage production estimations,
climate, and forage quality data published by local research groups
generated for the last 14 years into a common data frame, will improve our
current capacities to either, estimate forage production and its quality
with remote sensing information, and forecast seasonal variation in forage
production.

The ideal candidate would have expertise and experience in field work, must
have excellent oral-and written skills in English (in order to lead
peer-review publications) and will be able to spend time and work in the
field. Will be positively considered experience in some of the following
areas: remote sensing, management of large databases, and statistical
modeling.



To apply please send an e-mail to: [email protected], with a cover letter
stating accomplishments and interests, curriculum vitae, and two references
for contact, before May 5, 2015. The candidate must not exceed 39 years old
at the moment of starting the appointment.



The length of the position is 24 months.

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