GIS Analyst

• We are looking for a skilled and motivated GIS Analyst to support the development, testing, and deployment of AI-based land use classification models for F4Fcarbon and agroforestry projects
• The role involves working closely with the GIS, AI, and carbon teams to ensure high-quality spatial data, manage KML files, and support satellite and drone data analysis for project monitoring and carbon estimation

Roles & Responsibilities

• Train, test, and improve AI-based Land Use and Land Cover (LULC) classification models
• Collaborate with the software development team for model deployment and integration
• Conduct regular quality checks on field-collected KML files and update or modify them as needed
• Work with the carbon team to provide inputs for control plot creation and carbon credit estimation using dynamic baselining
• Extract high-resolution satellite data for agroforestry monitoring and share work with the dMRV team on the agroforestry monitoring

Requirements

• 1-3 years of experience in GIS analysis, data analysis, or AI-based applications
• Academic background in Geoinformatics, Data Science, Remote Sensing, or related fields
• Strong Python programming and data analysis skills
• Good understanding and hands-on experience in Machine Learning and AI
• Knowledge of satellite and drone data and experience in applying these for environmental monitoring
• Experience using GIS tools for monitoring nature-based solutions will be preferred