Research Assistant Professor - Institute for a Secure and Sustainable Environment
A research assistant professor position is available in the Institute for a Secure and Sustainable Environment at the University of Tennessee, Knoxville (ISSE of UTK). The successful candidate will be expected to use multiple estimates from observed vegetation and soil fluxes and states to improve the land component of DOE-sponsored Energy Exascale Earth System Model (E3SM Land Model - ELM), especially the parameterization of wildfire and sun-induced chlorophyll fluorescence. With the updated ELM and other observation-model products, the candidate will also be responsible for investigating the driving mechanisms and feedbacks of long-term land surface changes (e.g., ggreeningh and gbrowningh). The research involves a collaboration with the Climate Change Science Institute at the Oak Ridge National Lab (CCSI of ORNL). Besides, the candidate is expected to develop proposals and publish quality papers. For additional information about the Institute, please visit http://isse.utk.edu/.
The selected candidate should have one or more of the following attributes: (a) a background in land surface model simulation, evaluation and development; (b) strong experience in assembling and diagnosing large models and observational datasets; (c) and strong programing skills in at least one of Fortran, R, Matlab, NCL or Python. The applicant should have a Ph.D. in an appropriate field (e.g., ecology, atmospheric science, geography or related area) at the time of appointment. The candidate will mainly work together with Prof. Mingzhou Jin (email@example.com), the ISSE director at UTK, and Dr. Jiafu Mao (firstname.lastname@example.org) from ORNL, and should have a strong interest in collaborative research with a team of modelers and experimentalists at both UTK and ORNL.
Individuals interested in applying should submit as a single PDF file consisting of a research statement; curriculum vitae; and the names and contact information for at least 3 professional references to Dr. Mingzhou Jin at email@example.com. Review of applications will begin on July 15, 2020 and continue until the position is filled.
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