美国爱荷华州立大学博士后职位招聘–生态系统生态学、生物地球化学、土壤科学、大气科学、农业、林业、遥感或相关领域

Job Description: 

Summary of Duties and Responsibilities: 

The MacroSystems Ecology Lab (https://www.clu-lab.com/ ) in the Department of Ecology, Evolution, & Organismal Biology at Iowa State University has an opening for a postdoc scholar in Isotope-enabled Terrestrial Ecosystem Modeling.

We are seeking an individual to work on 1) developing isotope-enabled Terrestrial Ecosystem Modeling, leveraging isotopic measurement data and exploring its potential applications in agroecosystems; 2) modeling soil organic carbon dynamics under various agricultural practices, and examining associated impacts on crop yield and nitrogen losses (e.g., N2O and N leaching) from field to regional scale in the US. The successful candidate will participate in an interdisciplinary research team to improve ecosystem model representations and prediction accuracy in soil biogeochemical processes with lab incubations and long-term experimental data at different scales. The postdoc scholar is expected to independently reconstruct and analyze time-series geospatial datasets, test, improve, and implement the process-based land ecosystem models to quantify agricultural carbon and nitrogen fluxes, and climate mitigation potentials. The specific duties include cross-scale data synthesis, data-model integration, data assimilation, model improvement, implementation, and uncertainty analysis. The postdoc will be encouraged to pursue new research direction (e.g., participate in development of research proposals), and will help manage the lab and interact with graduate and undergraduate students.

Required Minimum Qualifications: 

  A Ph.D. degree from an accredited institution in Ecosystem Ecology, Biogeochemistry,  Soil Science, Atmospheric Science, Agriculture, Forestry, Remote Sensing or related fields with experience of terrestrial ecosystem modeling 

Preferred Qualifications: 

-Experience and background on geospatial dataset development, carbon isotopic data analysis from lab and field experiment, biogeochemistry/ecosystem modeling, and proficient coding skills (in at least one of R, Python, C or C++, MATLAB)

-Familiarity with the biogeochemical cycling and US agricultural management practices will be preferred.

-Excellent written and interpersonal communication skills, a record of research publications in refereed journals of high quality, and a demonstrated ability to function well within multidisciplinary teams.

Candidates must be legally authorized to work in the U.S. on an on-going basis without sponsorship.