Postdoctoral Fellow: Forest Remote Sensing & AI

wfu; Winston-Salem (NC); Sur place; USD 70 000 - 90 000; Plein temps

Résumé du poste

Wake Forest University invites applications for a postdoctoral research fellowship focusing on remote sensing, tropical forest carbon, and AI. The appointee will collaborate with Dr.

Ovidiu Csillik and others to analyze lidar data (GEDI) and field inventories, advance geospatial ML methods, and contribute to publications and proposals. The position is for one year with potential extension based on performance and funding, and includes mentoring responsibilities and opportunities for grant

Qualifications

• PhD or ABD in Environmental Science, Forestry, Geography, Earth System Science, Computer Science, or related disciplines.
• Strong publication record in remote sensing, forest ecology, carbon modeling, or ML.
• Experience planning and executing field data collection using drones and/or terrestrial lidar.
• Developing code for geospatial data analysis and ML using Python, R, and GEE.
• Hands-on processing of airborne and spaceborne lidar datasets (GEDI).
• Experience with field inventory data and scaling measurements to regional/global scales.
• Excellent interpersonal communication, scientific writing, and time management.
• Ability to work independently and in teams.

Responsabilités

• Develops and implements AI/ML algorithms for large remote sensing datasets.
• Integrates field inventory with remote sensing to model tropical forest carbon.
• Plans and conducts field campaigns using drones and terrestrial lidar.
• Prepares project reports, journal articles, and conference papers.
• Supports proposal development for new projects and grants.
• Mentors undergraduate researchers in the lab.

Connaissances

Geospatial analysis

Applied ML/Deep learning

Python

R

Google Earth Engine

Field coordination

Scientific writing

Time management

Formation

PhD or ABD in Environmental Science/Forestry/Geography/Earth System Science/CS

Outils

Python

R

Google Earth Engine

Drones/UAV field data collection

Terrestrial lidar

Description du poste

Wake Forest University invites applications for a postdoctoral research fellowship focusing on remote sensing, tropical forest carbon, and AI. The appointee will collaborate with Dr.

Ovidiu Csillik and others to analyze lidar data (GEDI) and field inventories, advance geospatial ML methods, and contribute to publications and proposals. The position is for one year with potential extension based on performance and funding, and includes mentoring responsibilities and opportunities for grant