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Amrita Vishwa Vidyapeetham

Geospatial / GeoAI Analyst

Amrita Vishwa Vidyapeetham

Remote · مکمل وقت

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
کوئی بھی
تنخواہ
کھلنا
1
پوسٹ کیا گیا
8 گھنٹے قبل
کام کا موڈ
گھر سے کام کریں۔
تعلیم
ماسٹر ڈگری
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

ملازمت کی تفصیل

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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