Wildfire Risk Modeling Scientist: Deep Learning & EO Fuel Maps

ORAU; Pasadena (CA); On-site; USD 60,000 - 80,000; Full time

Job summary

A leading aerospace research program in Pasadena, California, is seeking postdoctoral candidates for unique research opportunities focused on wildfire risk assessment using advanced deep learning models and Earth Observation data. Applicants must possess a Doctoral Degree alongside strong expertise in data science, machine learning, and remote sensing. This position offers a chance to contribute significantly to ongoing projects that enhance NASA’s mission in Earth Science.

Qualifications

• Strong background in data science, machine learning, remote sensing, wildfire science, or a related field.
• Experience with deep learning frameworks and satellite observations.
• Strong programming skills and quantitative reasoning.

Responsibilities

• Design and train advanced deep learning models for wildfire assessment.
• Generate high-resolution fuel maps and apply explainable AI techniques.
• Develop integrated wildfire risk metrics through visualization platforms.

Skills

Data science

Machine learning

Remote sensing

Wildfire science

Deep learning frameworks

Geospatial analysis

Education

Doctoral Degree

Tools

Satellite observations

Fire behavior modeling

Job description

A leading aerospace research program in Pasadena, California, is seeking postdoctoral candidates for unique research opportunities focused on wildfire risk assessment using advanced deep learning models and Earth Observation data. Applicants must possess a Doctoral Degree alongside strong expertise in data science, machine learning, and remote sensing. This position offers a chance to contribute significantly to ongoing projects that enhance NASA’s mission in Earth Science.