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Amrita Vishwa Vidyapeetham

Geospatial / GeoAI Analyst

Amrita Vishwa Vidyapeetham

Remote دوام كامل

كن أول من يتقدم بطلب

خبرة
أي
مرتب
الوظائف الشاغرة
1
تم النشر
٨ مرات
وضع العمل
العمل من المنزل
تعليم
درجة الماجستير
سيرة ذاتية
مطلوب للتقديم

المسمى الوظيفي

About the Role

Amrita Vishwa Vidyapeetham invites applications for a Geospatial / GeoAI Analyst position based in Amritapuri, Kollam. The role is dedicated to developing advanced risk-mapping platforms and hazard-monitoring systems in real time. This position demands a hands-on, production-focused professional with deep expertise in geospatial programming, SAR data handling, and GeoAI analytics.

Key Responsibilities

  • Create and manage dynamic geospatial workflows focused on real-time hazard and risk mapping.
  • Process and interpret diverse geospatial datasets including satellite imagery, SAR, rainfall data, and terrain models.
  • Develop GeoAI and machine learning models aimed at detecting patterns, forecasting events, and assessing risks.
  • Analyze SAR datasets from sources like Sentinel-1, ALOS, and NISAR to monitor deformation, flooding, and other hazards.
  • Design and implement web-based geospatial dashboards and applications.
  • Automate geospatial data processing pipelines using Python or R frameworks.
  • Integrate analytical results into operational early warning and decision-support systems.

Qualifications and Skills

  • Master’s degree (M.Tech or MSc) in Geoinformatics, GIS, Remote Sensing, Geospatial Sciences, or related disciplines from a reputed institution.
  • Proficient in Python (libraries such as GeoPandas, Rasterio, GDAL, xarray) or R (terra, sf, raster, stars) for geospatial programming.
  • Practical experience with ArcGIS and QGIS desktop applications.
  • Familiarity with ArcGIS Online tools including Web App Builder, Dashboards, and StoryMaps.
  • Demonstrated expertise in SAR data processing and analysis, ideally with Sentinel-1 and InSAR.
  • Experience utilizing Google Earth Engine (GEE) platform.
  • Thorough understanding of geospatial data processing workflows, raster and vector data management, spatial analysis, and modeling techniques.
  • Competence in applying GeoAI, machine learning, and deep learning methods to geospatial datasets.

Additional Information

This is a non-teaching position. The deadline to submit applications is August 11, 2026.

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