Ph.D. Reseracher

Updated: 2 months ago
Deadline: 22 Oct 2021

This research is part of project 64 GHG - D.1 from the Research Center for Gas Innovation (RCGI), entitled “Greenhouse gas emissions in the Amazon and data analysis system and services”. In this project, a multidisciplinary team will build a computer system that integrates data associated with the emission of greenhouse gases in the Amazon, i.e. data from land use changes, remote sensing of greenhouse gases, meteorological parameters, forest degradation data, in situ measures in soil and in fluxes, and concentrations of greenhouse gases in the Amazon.

RCGI is an Engineering Research Center (ERC) supported by the São Paulo Research Foundation (FAPESP) in conjunction with Shell, and hosted by the Engineering School of the University of São Paulo (POLI-USP) in Brazil. The selected fellow for project 64 will be based in Brazil's National Space Research Institute (INPE).

The project will integrate land use change data from fire detection systems operated by MapBiomas and INPE, remote sensing and in-situ measurement of greenhouse gases data in an open-access computational platform using machine learning and artificial intelligence techniques, with web access.

The post-doc objective will be to work on satellite validation with ground-based measurements for aerosols and GHG.

This postdoc scholarship is suitable for a highly motivated researcher with a background in areas such as physics, chemistry, engineering, calculus, mathematics, geography or meteorology. Requires programming skills in MatLab, Fortran or Python. It requires knowledge in the use of geographic information systems—desirable knowledge of remote sensing techniques for land-use change and satellite gas measurements. English proficiency is required. The ability to collaborate and develop your work in large teams is required.

The candidate should have solid experience with access and processing images from MODIS and TROPOMI and of fire pixels, in the extraction of data from INPE's Wildfire Program, in statistical analysis of spatially distributed data, and in the development of algorithms.

The candidate must have obtained a doctorate degree less than seven years ago, priority for candidates who have just completed the Doctorate, within the regular duration, with an excellent academic record in postgraduate studies.

Information and registration:  please visit and then access the position (REF 21PDR139).

This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP’s Post-Doctoral fellowship in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent in items directly related to the research activity.
More information about the fellowship is at: .

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