| Full Description |
Responsibilities:
1. Implement a remote-sensing based initialization of forest structure and forest functional diversity for the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), a demographic vegetation model.
2. Conduct historical and future simulations to quantify the potential consequences of edge effects on the carbon cycle and forest flammability;
3. Analyze and interpret forest ecology and ecosystem process datasets and model outputs.
4. Develop peer-reviewed research manuscripts, reports, and presentations for scientific conferences and publications.
5. Mentor and supervise undergraduate and graduate students, providing guidance and support in their research activities.
6. Collaborate with other members of the project research team, facilitate grant writing, and develop new collaborations as appropriate to further the scientific goals of the program.
Minimum Qualifications
• Ph.D. (or equivalent) in Ecology, Environmental science, Forestry, Data Science, Remote Sensing, Geography, Earth System Science, or related discipline by the time of appointment.
• Strong background in high-performance computing environments and coding experience with R and/or Python.
• Expertise in analysis of large remote sensing data sets applied to forest ecology or ecosystem process studies, as well as statistical and visualization skills.
• Strong oral and written communication skills including demonstrated technical writing capabilities to efficiently organize scientific findings for peer-reviewed publication and presentation.
• Ability to conduct research independently while maintaining and developing collaborations within an interdisciplinary and diverse team.
Preferred Qualifications
• Experience with application and interpretation of results of terrestrial biosphere models such as FATES or ED2.
• Research experience in tropical ecology, vegetation remote sensing, and land surface processes, particularly those impacted by fires.
• Familiarity with the Fortran programming language used by Earth system modelers.
For full consideration, please apply by Nov 1st, 2023.
Notes:
• The position is available immediately. The start date is negotiable.
• This is a full-time, 1-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance and continuing availability of funds. Salary for Postdoctoral positions depends on years of experience post-degree.
• The Meng Lab is committed to strong post-doctoral mentoring, career and professional development, and recruitment of diverse candidates, especially from underrepresented groups.
Institution Information
Vanderbilt University is an R1 Carnegie classification research institution and is ranked among the top universities in the United States, providing comprehensive, high-quality undergraduate and graduate programs. Founded in 1873, Vanderbilt enrolls approximately 13,800 students from the US and over 100 foreign countries. Vanderbilt University is located in Nashville, Tennessee, a thriving state-capital city that enjoys a moderate climate, excellent parks and natural areas, a strong and varied economy, and diverse food, music, and cultural opportunities.
Vanderbilt University and the Department of Earth and Environmental Sciences have a
strong institutional commitment to recruiting and retaining an academically and
culturally diverse community of faculty, staff, and students. Members of traditionally underrepresented groups are strongly encouraged to apply. Vanderbilt is an Equal Opportunity/ Affirmative Action employer. |