|From||Erwan Monier <firstname.lastname@example.org>|
|Date||Tue, 19 Jan 2016 18:54:00 +0000|
Position: 2 Postdoctoral Associate in Agricultural Modeling, Massachusetts Institute of Technology
The Center for Global Change Science seeks two (2) Postdoctoral Associates to work with the Joint Program on the Science and Policy of Global Change to expand the agricultural model capabilities of the MIT Integrated Global System Modeling (IGSM) framework. The postdoctoral researchers will each participate in the development, implementation, calibration and evaluation of a crop model within the Global Land System of the IGSM. One postdoc will focus on crop biogeophysics (e.g., phenology and evapotranspiration), productivity and water demand, while the other postdoc will focus on biogeochemistry (i.e. terrestrial carbon and nitrogen dynamics) with attention to greenhouse gas fluxes from agriculture. These two postdocs will be expected to work in close collaboration, and to actively engage with developers of global crop and ecosystem models within the community-at-large. The postdocs will also work among faculty, research staff, postdoctoral researchers, and graduate students in an interdisciplinary group that includes climate scientists and economists.
A Ph.D. in agronomy, ecology, plant biology, biometeorology, or related field; knowledge of crop science; and experience with scientific programming in Fortran, C, and C++. Expertise in crop simulation modeling and/or crop model development is particularly desired. In addition, preference will be given to applicants with expertise in biogeophysical and/or biogeochemical land models used in coupled Earth-system frameworks.
Interested applicants may contact the MIT Joint Program at email@example.com with questions. Review of applications will continue until suitable candidates are identified.
The appointment is for one year with the possibility of extension depending on job performance and availability of funding. Opening announced 1/5/2016.
MIT is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
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