Perform satellite image classification and time-series analysis using Sentinel and PlanetScope data; build and optimize ML classification pipelines; develop Google Earth Engine apps and geospatial tools; apply advanced geospatial and hydrological modelling; coordinate ground-truth collection; produce reports, research papers, and decision-support dashboards; support stakeholder engagement.
- Skilled
in Satellite Image Classification using Sentinel SAR & Optical data, Planet
Scope satellite data, etc., along with time series analysis
- Demonstrated
skills in Machine Learning classification-based pipeline development and
optimization
- Sound
knowledge of Google Earth Engine-based advanced programming, GEE app
development, Python, and/or R programming
- Understanding
of advanced geospatial modelling techniques (for suitability analysis,
hydrological modelling, watershed analysis, etc.). Skills in predictive
modeling using satellite data-derived features and field data.
- Understanding
of geospatial tools development
- Sound
knowledge of ground truth data collection and coordination skills with field
staff
- Excellent
skills in report writing, research paper writing, and short communication writing
Duties and Other Responsibilities
- Contribute to stakeholder engagement events
- Contribute to decision support tools and dashboard development
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
