06/10/2026
Research Collaboration | GIS & Remote Sensing
MDF PNG is seeking experienced GIS & Remote-Sensing researchers to collaborate on a scientific assessment of vegetation and LULC change (2000–2026) in the Kamiali Wildlife Management Area (KWMA), Morobe Province, Papua New Guinea.
The study will use Google Earth Engine, Landsat, Sentinel-1/2, and machine-learning classification.
Key expertise:
• LULC & vegetation mapping
• Random Forest classification
• Change & transition analysis
• Accuracy assessment/confusion matrices
• GIS, spatial statistics & scientific mapping
• Scientific manuscript development
Research collaboration and co-authorship will be considered based on contribution.
📍 KWMA: 401 km² community-managed conservation area near Lababia Village, Salamaua.
Interested? Please send your CV/profile and relevant research/GEE work.
📧 [email protected]
📱 WhatsApp: +675 7471 8755