Master’s degree in Remote Sensing, Geography, Environmental Science, or a related field.
At least 5 years of practical working experience in remote sensing, with a focus on land use / land cover change and forest dynamics.
Experience with remote sensing processing techniques for forest carbon accounting, including the use of optical data sources, lidar and radar.
Strong experience with GIS software such as ArcGIS Pro, with programming skills in Python or R and experience with GIS workflows and geoprocessing.
Effective communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Adept interpersonal skills, with the ability to foster collaboration and build rapport in a multi-cultural team.
Highly organized, with the ability to effectively collaborate across multiple time zones.
Legal authorization to work in the United States.
Familiarity with REDD+ implementation and carbon accounting methodologies, including the IPCC guidelines, VCS and other emerging standards and frameworks.
Knowledge of baseline setting techniques for REDD+ projects, including forest reference emission level (FREL) calculation and nesting methods.
Understanding of REDD+ policies and marketplace trends including integrity initiatives for both supply and demand.
Experience in deforestation and degradation analysis for different types of forests, including natural and degraded forests in both dryland and dense humid ecosystems.
Experience in conducting forest carbon stock assessments and estimating carbon emissions and removals.
Experience with machine learning techniques for remote sensing data analysis.
People management experience, preferably with a highly dispersed, multi-cultural team.
Proficiency in French, Spanish or Bahasa Indonesia is a plus.