Hybrid Wildfire Spread Scientist & Modeler

Aon plc

Boston (MA)

Híbrido

USD 115.000 - 140.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

401(k) with employer contributions
Employee stock purchase plan
Long-term incentive awards
Medical, dental and vision insurance
Paid time off and holidays
Vacation and sick leave
Life insurance and AD&D
Commuter benefits
Employee assistance program

Descripción de la vacante

Aon plc in Boston is seeking a Wildfire Scientist to operate and extend wildfire spread modeling workflows, including large-scale simulations and WUI transitions. You will develop modeling pipelines in R/Python, run HPC/cloud workloads, and validate models against historical events, collaborating with an international team of experts.

The role requires an MS/PhD in wildfire science or related field, strong programming skills in R/Python, and extensive experience with geospatial data and fire

Formación

  • Requires MS/PhD in wildfire science or closely related field.
  • Direct experience with wildfire spread modeling using standard tools or custom models.
  • Strong understanding of WUI fire behavior and embers/spotting.
  • Proficient in R and/or Python for modeling and data processing.
  • Experience handling geospatial data and GIS tools is required.
  • Experience with HPC or cloud environments for modeling at scale.
  • Solid analytical and statistical skills with large time-series data.
  • Excellent technical writing and presentation skills.
  • Experience with catastrophe or risk modeling is preferred.

Responsabilidades

  • Operate, maintain, and enhance wildfire spread modeling workflows.
  • Run large catalogs of simulated events for model development and calibration.
  • Improve how models represent spread in the WUI and embers/structure interactions.
  • Develop, test, and maintain modeling pipelines in R/Python on HPC/cloud resources.
  • Evaluate traditional fire behavior models and compare to historical perimeters.
  • Validate models by comparing with observed data and document findings.
  • Collaborate with international teams of researchers and clients.
  • Prepare technical documentation and presentations for internal and external audiences.

Conocimientos

MS/PhD in wildfire science or related
Wildfire spread modeling
R and/or Python programming
Geospatial data handling
HPC/cloud experience
Analytical & statistical skills
SQL experience
Technical writing & presentations
Catastrophe / risk modeling

Educación

MS or PhD in wildfire science or related field

Herramientas

FARSITE
FlamMap
BehavePlus or similar
GDAL/ArcGIS/QGIS
sf/terra in R

Descripción del empleo

Aon plc in Boston is seeking a Wildfire Scientist to operate and extend wildfire spread modeling workflows, including large-scale simulations and WUI transitions. You will develop modeling pipelines in R/Python, run HPC/cloud workloads, and validate models against historical events, collaborating with an international team of experts.

The role requires an MS/PhD in wildfire science or related field, strong programming skills in R/Python, and extensive experience with geospatial data and fire

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