5 дней назад
Wildland Fire Risk Scientist (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Wildland Fire Risk Scientist (AI): Advancing wildfire exposure and risk research for buildings, the wildland-urban interface, and other valued assets with an accent on remote sensing, geospatial datasets, simulation models, and machine learning. Focus on developing national-scale exposure and damage models, quantifying wildfire losses, mapping wildland-urban interfaces, and publishing research in high-impact scientific journals.
Location: Sioux Falls, South Dakota, United States. The role requires three years of residency in the United States and participation in virtual and occasional in-person team meetings.
Company
is a government contractor providing research and technical support to USGS and other government programs.
What you will do
- Advance research on wildfire exposure and risk to buildings, the wildland-urban interface, and other valued assets.
- Develop simulation, deep learning, and machine learning methods to predict wildfire exposure and building damage at national or larger scales.
- Lead and co-author manuscripts for high-impact scientific journals.
- Develop, maintain, and expand annual datasets quantifying building losses caused by wildfires.
- Prototype datasets for infrastructure assets affected by wildfires, including communications, energy, hydrological, and transportation infrastructure.
- Develop and analyze global- and national-scale wildland-urban interface datasets using building footprints, census, land cover, and fire occurrence data.
Requirements
- Three-year residency in the United States required.
- PhD, advanced degree, or equivalent experience in ecology, landscape ecology, forestry, fire science, conservation science, or a related field.
- Three to five years of recent related experience in fire ecology and plant community dynamics across landscapes.
- Advanced knowledge of ground, surface, and canopy fuel characteristics and their effects on wildland fire behavior.
- Experience with image processing, GIS software, raster and vector data, spatial analysis, Python, R, shared code repositories, and data visualization.
- Strong technical writing, editing, presentation, interpersonal communication, and Microsoft Office skills; ability to obtain and maintain a national agency check and background investigation.
Nice to have
- Experience with AI-supported development environments such as Kiro.
- Ability to contribute to the direction and implementation of the Wildland Fuels Program at EROS.
- Ability to self-teach using available on-the-job training resources.
Culture & Benefits
- Full-time employment with a people-focused and Zero Harm culture.
- Potential benefits include a 401(k) plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability coverage, and paid time off.
- Flexible work schedule options may be available.
- Professional training and development opportunities support career advancement.
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