1 position as fixed-term Researcher at the Department of Biology and biotechnology “Lazzaro...

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 the Physics Institute (IF-USP).

The project will integrate land use change data from fire detection systems operated by MapBiomas and INPE (Brazil's National Space Research Institute), 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 applicant will contribute in line with the project's main objective, which is the quantification of the terms that make up the greenhouse gas (GHG) balances in the intact forest, compiling long term data that has been collected in flux towers of the LBA and ATTO programs and combining with simulations using process-based models of vegetation dynamics to produce the best estimate of net carbon exchanges in intact forest areas (averages, interannual variability, recent and historical trends).

This postdoc scholarship is suitable for a highly motivated researcher with a background in physics, chemistry, engineering, calculus, mathematics or geography. Requires programming skills in MatLab, Fortran or Python. It requires knowledge in the use of geographic information systems. English proficiency is required. Ability to collaborate and develop your work in large teams is required.

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 https://www.rcgi.poli.usp.br/opportunities/ , and then access the position (REF 21PDR138).

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: fapesp.br/oportunidades/4563 .


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