Pedometrics

Post doctoral Fellow Sao Paulo, Brazil

POST-DOCTORAL FELLOWSHIP IN SOIL SCIENCE

The Department of Soil Science (LSO) of the School of Agronomy “Luiz de Queiroz” of the Univeristy of São Paulo (USP), located in Piracicaba, São Paulo, Brazil, is searching candidates for a Junior Post-Doctoral Fellowship in Geotecnologies in Soil Science in the project entitled “Development of tools for environmental monitoring of soils: investigation of contaminants, quantification of elements, and laboratory- and remote sensing-based implementation”. The Fellowship will be provided by the Brazilian National Council for Technological and Scientific Development – CNPq. The minimum duration of the Fellowship is one year, with possible renewal for one more year. Only applicants that obtained a Ph.D. or equivalent degree within the last 7 years are eligible.

Curriculum Vitae in the Lattes format (http://lattes.cnpq.br/english/index.htm) and two letters of recommendation must be sent by e-mail to jamdemat@esalq.usp.br and gvasques@ufl.edu. Review of applications will start immediately and the deadline for submission of materials is December 17, 2009.

Duties

The Post-Doctoral Fellow will actively participate in the activities of the Soil and Land Use Planning GIS and Remote Sensing Laboratory, focusing on soil spectroscopy based on laboratory and satellite imagery. Various soil properties will be anallyzed using spectroscopy, including carbon and its spatial distribution on the landscape. Other activities include: spectral libraries, chemometric studies, analysis of soil properties, land use mapping using remote sensing, and use of specific software including  ENVI, ArcGIS and others. The Department is interested in spatial modeling of soil variation with focus on GIS and statistical modeling techniques, and offers appropriate structure (office, hardware, software, and others) to the fellow.

Requirements

Ph.D. or equaivalent degree in Soil Science or related fields (Geography, Pedology, Agronomy, Forestry, Agriculture Engineering, GIS, Remote Sensing, Computer Science, Statistics, and others) is required. Experience with statistical modeling (preferably multivariate) is appreciated.

For More Information

More information can be obtained from Professor José Alexandre M. Demattê by e-mail: jamdemat@esalq.usp.br.

Phone inquiries should be made to +1-19-3417-2114.