PhD Graduate Assistantships in Ecosystem Ecology and Terrestrial Ecosystem Modeling
PhD graduate student assistantships in Ecosystem Ecology and Terrestrial Ecosystem Modeling are available in the department of Ecology, Evolution, and Organismal Biology at Iowa State University. I invite highly motivated graduate students with interest in investigating cutting-edge ecological questions in a coupled human and natural system. My research integrates ground/satellite observations into process-based ecosystem modeling framework to examine biogeochemical and hydrological cycles, land-atmosphere exchange of greenhouse gases (CO2, CH4 and N2O), and land-coastal linkage at multiple scales from watershed, regional, continental to global in the context of multifactor global change (e.g., climate change, air pollution, land use and management, etc.). The student will work on one or two of these research areas by developing large-scale dataset, improving and calibrating terrestrial ecosystem/Land surface models, and analyzing simulation results. There are plenty of opportunities to work with a group of ecologists with different expertise, and socioeconomists.
I expect that these new graduate students will join the lab in Fall 2018. The applicants should possess a degree in ecology/biology, hydrology, meteorology, geography, earth system science, forestry, agronomy, or soil science. Quantitative skills and experience in terrestrial ecosystem/land surface modeling, remote sensing, geospatial and/or statistical analysis are preferable. I will recruit students through the Ecology and Evolutionary Biology Graduate Program (https://eeb.iastate.edu/) and the Environmental Science Graduate Program (https://enscigrad.iastate.edu/) at Iowa State University (Application due January 15, 2018). Please contact me in advance for more details.
Interested applicants should send a cover letter (outlining their qualifications and research interest), resume, and copies of transcripts, TOFEL, GRE scores, and contact information for three references to Dr. Chaoqun Lu at Email: email@example.com