Required Qualifications

· Education: M.Tech / M.Sc./ PhD in GIS, Geoinformatics, Remote Sensing, Civil Engineering, or a related spatial science field.

· Experience: 2 - 3 years of skilled or serious academic project experience in GIS and remote sensing application development.

· Location: Kozhikode, Kerala Key Responsibilities:

Time-Series SAR Processing: Automate the ingestion and processing of Copernicus Sentinel-1 (C-band) and ISRO/NASA NISAR (L-band) data to generate high-resolution, state-wide InSAR ground subsidence maps.

Dielectric Moisture Extraction: Implement dual-polarization techniques to decouple surface roughness and vegetation attenuation, isolating genuine shifts in complex soil dielectric permittivity to map subsurface seepage and piping.

Algorithmic Data Fusion: Translate heavy raster datasets into discrete vector units, performing the zonal statistics necessary to compute our various soil based indexes at a decided area/ length.

API & Cloud Integration: Build robust, automated pipelines querying ISRO's Bhoonidhi (EOS-04/NISAR) and NASA Earthdata (ASF DAAC) to continuously feed intelligence into our predictive engine.

Help organize, georeferenced drone captured thermal, NDVI, and RGB orthomosaics into spatial databases for anomaly detection. ? Who We Are Looking For:

Deep expertise in SAR/InSAR processing techniques (phase unwrapping, coherence tracking, SBAS/PS-InSAR methodologies).





Strong proficiency in spatial Python libraries (GDAL, Rasterio, GeoPandas, Xarray, Shapely) and cloud-native geospatial processing.

GIS Tools & Scripting: Proficiency in QGIS, ArcGIS, GDAL/OGR, and practical Python scripting for spatial automation (GeoPandas, Shapely, Rasterio).

A solid scientific understanding of hydrological monitoring and geotechnical remote sensing.

Working knowledge of Sentinel-1 SAR archives (SLC, GRD) into subsidence maps and backscatter time series using open-source pipelines - SNAP, ISCE.

Working Knowledge of SMAP mission data processing.

Experience with PS-InSAR / SBAS time series (MintPy, StaMPS), Exposure to computer vision or ML models for aerial imagery will be addon. This is a unique opportunity to push the boundaries of civil infrastructure monitoring and build a life-saving disaster management digital twin from the ground up. ? Location: Kozhikode, Kerala ? How to Apply: Send your resume and a portfolio/GitHub link showcasing your SAR processing capabilities to [[email protected]], or DM me directly!. Apply before 15 August 2026.

Compensation: Commensurate with qualification, experience and market #GeospatialEngineering #RemoteSensing #SAR #InSAR #GIS #EarthObservation #Python #CivilEngineering #WaterResources #StartupHiring #TechForGood #NireekshanAI

📌 Geospatial/Remote Sensing Engineer (Kozhikode)
🏢 Nireekshan AI Dynamics
📍 Kozhikode