High latitude carbon cycle Post-doctoral Research Position at the University of Michigan.
Applications are invited for a postdoctoral position to participate on a NASA-funded project to understand seasonal carbon exchange in high latitude terrestrial ecosystems. The position will be based at the University of Michigan in the Climate and Space Science and Engineering department, and the postdoctoral researcher will work with Professor Gretchen Keppel-Aleks. The research is an exciting collaboration between the University of Michigan, the Woods Hole Research Center, and Northern Arizona University. The scientific objective of the research is to understand the causes of amplification of the atmospheric CO2 mean annual cycle over the last several decades. The research will contribute to NASA's Arctic and Boreal Vulnerability Experiment (ABOVE), and the postdoctoral scholar will have the opportunity to work with and learn multiple tools, including remote sensing observations, atmospheric CO2 observations, and coupled land-atmosphere models.
Expertise is required in one or more of the following areas: atmospheric science, biogeochemistry, ecosystem science, or other aspects of environmental science and engineering. Applicants should have demonstrated quantitative skills and a successful publication record. Programming experience with an atmospheric or Earth system model is required, with preference towards experience with the NCAR CESM or the GEOS-Chem atmospheric transport model.
The initial appointment is for one year, with the possibility for extension to a second year. Please send a C.V., a cover letter detailing current and future research interests, and the names of three references to Gretchen Keppel-Aleks (email@example.com).
Review of applications will begin on November 6, 2017 and will be accepted until the position is filled.
- Ph.D. in atmospheric science, biogeochemistry, ecosystem science, or other aspects of environmental science and engineering - Programming experience with a global climate or atmospheric transport model - Data visualization experience with NCL, Matlab, or Python
- Strong publication record - Experience with the NCAR Community Earth System Model (CESM) or GEOS-Chem
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