Postdoctoral Research Fellow, Environment and Sustainability Studies
Core
Conduct cutting-edge research at the intersection of remote sensing, tropical forest carbon, and artificial intelligence to map and monitor forest degradation and carbon dynamics in tropical ecosystems.
Role type
Postdoctoral Research Fellow (Geospatial AI & Ecology)
Builds
Scholarly articles, presentations, and technical proposals for high-tier journals and grant funding.
Domain
Environmental Science / Forestry / Remote Sensing / Machine Learning
Deliverable
production ML models | research
Required skills
Geospatial analysis, applied machine learning/deep learning, forest ecology, large-scale remote sensing data processing, airborne lidar analysis, spaceborne lidar (GEDI) processing, field inventory data integration, statistical scaling, Python, R, Google Earth Engine, drone/UAV operations, terrestrial lidar systems
Preferred skills
Tropical forest ecosystem research, advanced computer vision, deep learning on satellite imagery and 3D point clouds, high-performance computing (HPC), cloud computing, FAA Part 107 Remote Pilot Certificate
Technologies
Python, R, Google Earth Engine, GEDI, UAVs, terrestrial lidar systems
Responsibilities
Develop and implement advanced statistics, AI, and machine learning algorithms to process large-scale remote sensing datasets; Integrate field inventory measurements with remote sensing data to model tropical forest carbon stocks; Plan and conduct field campaigns using drones and terrestrial lidar systems; Write project reports, journal articles, conference papers, and presentations; Support technical proposal preparation; Contribute to the training and mentoring of undergraduate research students
Seniority
Postdoctoral Fellow (Research & Mentorship)