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Aon

Global risk, retirement, health solutions provider

Wildfire Scientist - Wildfire Spread Modeler

Data ScienceConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • A master's or Ph.D. in wildfire science, fire behavior, environmental science, applied geoscience, atmospheric science, or a closely related field, or equivalent years of industry experience.
  • Direct experience with wildfire spread modeling, including operational or research use of tools such as FARSITE, FlamMap, BehavePlus, or similar fire behavior models, and/or experience developing or working with custom spread models such as cellular automata, level-set methods, or other numerical approaches.
  • Demonstrated understanding of wildland–urban interface fire behavior, including how fires transition from wildland fuels into communities.
  • Strong programming or scripting skills, preferably in R and/or Python.
  • Experience working with geospatial data and tools, such as raster/vector data, GDAL, ArcGIS, QGIS, sf/terra in R, or equivalent.
  • Solid analytical and statistical skills, including working with large datasets and time series.
  • Excellent technical writing and presentation skills.

Responsibilities

  • Operate, maintain, and enhance current wildfire spread modeling workflows, including running large catalogs of simulated events for model development, testing, and calibration.
  • Work directly with the current wildfire spread engine and associated tooling to ensure reliable, repeatable runs.
  • Diagnose performance bottlenecks and improve the stability and throughput of spread simulations.
  • Improve how models represent spread in and through the wildland–urban interface, including transitions from wildland fuels to urban and suburban areas, ember generation, spotting, structure-to-structure fire spread behaviors, and how fuels, topography, and exposures influence spread into built environments.
  • Help shape new modeling approaches that better capture fire behavior in the wildland–urban interface.
  • Develop, test, and maintain modeling and data-processing pipelines in R and/or Python, including automation and orchestration of large batches of spread simulations on high-performance computing or cloud resources and efficient handling of large geospatial datasets.
  • Evaluate and integrate traditional wildfire spread science into the modeling framework, including working with established fire behavior models such as Rothermel-based approaches and assessing model behavior against historical wildfire perimeters, growth patterns, and impact footprints.
  • Perform model validation and verification by comparing modeled spread and burned area to observed historical events across different fuel types and regions.
  • Document and communicate findings and recommended improvements back into the modeling workflow.
  • Collaborate with catastrophe model developers, wildfire scientists, meteorologists, engineers, exposure/vulnerability specialists, software developers, and client-facing colleagues.
  • Prepare technical documentation, presentations, and summaries of modeling work for internal and external audiences.

Desired Qualifications

  • Understanding of ember/spotting and structure-to-structure spread.
  • Experience with numerical or environmental models in a high-performance computing or cloud environment.
  • Experience with SQL or other database tools.
  • Experience with catastrophe modeling or risk modeling.

About the Company

Aon

Global risk, retirement, health solutions provider

Aon provides risk management, retirement, and health solutions to businesses, governments, and individuals by offering consulting, brokerage, and software. It uses data and analytics to tailor insights across risk assessment, benefits design, and workforce optimization. Its global, diversified service mix and data-driven approach allow it to deliver more integrated risk, retirement, and health solutions than firms focusing on a single area. Its goal is to shape decisions for the better and protect and enrich lives worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1919

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