Job

We are seeking a highly skilled Geospatial/GeoAI Analyst to work on dynamic risk-mapping platforms and real-time hazard-monitoring systems. This is a hands-on, production-oriented role requiring strong expertise in geospatial coding, SAR data processing, and GeoAI-driven analytics. 

• Develop and maintain dynamic geospatial workflows for real-time hazard and risk mapping


• Process and analyze multi-source geospatial datasets (satellite, SAR, rainfall, terrain, etc.)


• Build GeoAI / ML models for geospatial pattern detection, prediction, and risk assessment


• Work with SAR datasets (Sentinel-1, ALOS, NISAR) for deformation, flood, or hazard analysis


• Design and deploy web-based geospatial dashboards and applications


• Automate geospatial pipelines using Python / R-based frameworks


• Integrate outputs into operational early warning systems and decision-support platforms

Strong programming skills in:

• Python (GeoPandas, Rasterio, GDAL, xarray) OR
•  R (terra, sf, raster, stars)

Hands-on experience with:

• ArcGIS & QGIS
• ArcGIS Online (Web App Builder, Dashboards, StoryMaps, etc.)

Proven experience in:

• SAR data processing and analysis (Sentinel-1, InSAR preferred)

Google Earth Engine (GEE)

Solid understanding of:

• Geospatial data processing pipelines
• Raster and vector data handling
• Spatial analysis and modelling

Experience in GeoAI / Machine Learning / Deep Learning for geospatial applications