Postdoc on Crop Modeling at National Center for Atmospheric Research (NCAR)

author: admin
July 9, 2013

National Center for Atmospheric Research (NCAR)The Climate and Global Dynamics Division (CGD) at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, seeks an individual to collaborate with scientists to provide a leadership role for agricultural science and modeling at NCAR. The research areas will be related to the development and evaluation of crop modeling in the Community Land Model (CLM) relative to and in combination with economic modeling of the agricultural sector in the integrated assessment model iPETS. This work will be used to assess and improve the simulation of crop growth and yield production under historical and future changes in crop management, atmospheric CO2, and climate for the regions of Brazil, India and China, with a view to expanding the study worldwide.

This is a 2-year term position with possibility of extension. Partial relocation costs paid per UCAR’s relocation policy. If necessary, UCAR/NCAR will sponsor a work visa (e.g., H1B, etc.) to fill this position.

View detailed job description at https://ucar.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jobid=217338&company_id=15947&version=1&source=ONLINE&JobOwner=962108&level=levelid1&levelid1=45212&parent=Scientific&startflag=2.

Initial consideration will be given to applications received prior to 7/19/2013. Thereafter, applications will be reviewed on an as-needed basis. Apply online (reference tracking code #13108). We value diversity. AA/EOE

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Additional Salary Information: Excellent health insurance and TIAA-Cref retirement benefits. Collegial and casual work environment.

Requires a recent Ph.D. in agricultural science, earth system science, environmental science, terrestrial ecology, or a related field. Must have expert knowledge of agricultural systems, crop yield modeling, and biogeochemistry and knowledge of the physical and biological basis of land surface and biogeochemical models. Requires skill in the use of graphical analysis tools for large datasets (e.g., NCL, IDL, MatLAB).

Must have skill in the use of UNIX operating system and its variants and experience with high performance computing environments. Requires ability to understand and modify code in Fortran90. Requires strong skills in verbal and written communication of scientific results and ability to work both independently or collaboratively as a member of interdisciplinary scientific teams.

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