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5 дней назад

Wildland Fire Risk Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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