ORAU · 3 weeks ago
A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights
ORAU is seeking a motivated researcher to join their team in developing a next-generation wildfire risk assessment system. The role involves creating a unified wildfire risk index that integrates satellite observations and model data, utilizing machine learning methods to optimize factor weightings and validate models with historical wildfire records.
Universities
Responsibilities
Develop and refine a novel wildfire risk assessment system using NASA satellite observations and model-based data
Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers
Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA), and conduct robust comparisons with existing fire risk indices
Perform sensitivity analyses to ensure reliability in diverse climates and land-cover settings
Contribute to NASA’s Earth science goals by improving satellite-derived and model-based hazard assessments for wildfire forecasting, climate resilience, and risk mitigation
Qualification
Required
Strong background in remote sensing, satellite data analysis, and/or machine learning methods
Familiarity with wildfire risk indices, fire behavior, and ecological processes
Proficiency with quantitative analysis tools and programming languages used for large datasets
Excellent communication skills and ability to work effectively in a collaborative research environment
Degree: Doctoral Degree
Company
ORAU
ORAU provides innovative scientific and technical solutions to advance research and education, protect public health and the environment and strengthen national security.
Funding
Current Stage
Late StageRecent News
The Motley Fool
2025-12-05
Company data provided by crunchbase