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Position Detail

The successful candidate will investigate the changes in vegetation dynamics (e.g., phenology, seasonality, and interannual trend) under climate change, disturbance, and human activities, as well as the vegetation feedback to carbon and water cycles. The new findings will inform model development of vegetation in response to a changing environment, including in urban areas. There will also be exciting opportunities to explore topics related to vegetation cooling effect on urban heat, phenology under fire and droughts, ecological light pollution, and phenology modeling using machine learning depending on the interest of the successful candidate.

Earth & Environmental Sciences

Minimum Qualifications: (1) A Ph.D. in environmental science, ecology, geography, remote 
sensing, meteorology, natural resource/forestry, or a closely related relevant area by the time of appointment. (2) Strong programming skills (R or Python), data-intensive processing and 
analysis, satellite remote sensing analysis, and statistical and visualization skills. (3) Solid 
background in global change ecology, vegetation remote sensing, and land surface processes.
(4) Strong record of publishing research in peer-reviewed journals. Preferred Qualifications:
Prior experience working with Google Earth Engine, geospatial approaches, and extensive 
vegetation model development/evaluation.

Please send an email to Dr. Lin Meng ( with subject line: 
“Application for Global Change Ecology postdoc” that includes your (1) CV, (2) list of contacts 
for three references, (3) a short cover letter (1 page) highlighting your qualifications and interest in the position and (4) unofficial copies of university transcripts.

Lin Meng
2022-10-19 16:06:35

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