Posting Summary
The Chen Lab of Ecosystem Dynamics and Remote Sensing is seeking a highly motivated Postdoctoral Associate to lead research in modeling vegetation photosynthetic activities using space-borne LiDAR data. The successful candidate will lead research on 1) Developing remote sensing products focusing on canopy vertical leaf area distributions; 2) Upscaling leaf-level processes to the canopy level; 3) Investigating seasonal and vertical structural changes in vegetation. This role will involve using in situ measurements from eddy covariance flux towers and utilizing vertical mapping data from NASA’s Global Ecosystem Dynamics Investigation ( GEDI ) mission. Through GEDI , we aim to apply eco-evolutionary optimization theories to constrain vegetation carbon and water fluxes, as well as explore photosynthetic traits . The candidate will be responsible for drafting manuscripts for publication and participating in regional, national, and international conferences, including NASA GEDI science team meetings. This is a three-year project, with an initial contract duration of 12 months, extendable based on the candidate’s performance.
