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The Role
Performs satellite image classification and time series analysis using Sentinel and PlanetScope data. Develops and optimizes machine learning pipelines, Google Earth Engine applications, geospatial models, predictive models, decision-support tools, and dashboards. Coordinates ground-truth data collection with field staff, supports stakeholder engagement, and prepares reports, research papers, and communications.
Summary Generated by Built In
- 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
Skills Required
- Skilled in satellite image classification using Sentinel SAR, optical data, and PlanetScope satellite data, including time series analysis
- Demonstrated ability to develop and optimize machine learning classification pipelines
- Knowledge of advanced Google Earth Engine programming and app development
- Programming experience with Python and/or R
- Understanding of advanced geospatial modeling techniques, including suitability, hydrological, and watershed modeling
- Experience with predictive modeling using satellite-derived features and field data
- Understanding of geospatial tools development
- Knowledge of ground-truth data collection and coordination with field staff
- Excellent report writing, research paper writing, and short communication writing skills
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The Company
What We Do
The Center for International Forestry Research (CIFOR) is a nonprofit scientific research organization focused on forest and landscape management, particularly tropical forests. It conducts multidisciplinary research, builds partners’ capacity, and engages stakeholders to inform policies and practices affecting forests and people. Its work seeks to improve human well-being, protect the environment, advance equity, and address challenges spanning climate change, biodiversity, food security, and livelihoods.
