Fire Weather Modeling Scientist – Data Assimilation

FWI (FedWriters, Inc.); United States; On-site; USD 83,000 - 87,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance (long-term &短)

Life Insurance

401(k) Plan

Holiday Pay

Paid Time Off

Job summary

FWI is seeking a Satellite Data Assimilation and Fire Weather Modeling Specialist to advance MPAS/WRF-based systems for WoFS. You will integrate satellite and in-situ data within ensemble data assimilation to improve fire behavior, smoke transport, and aerosol forecasts.

The role demands 8+ years of experience, strong coding skills (Python, Bash, Fortran, Git), and experience with HPC environments. Expect remote, full-time work with collaboration across multidisciplinary teams.

Qualifications

• MS Degree (PhD Preferred) in meteorology, atmospheric science, computer science, engineering, or a related field.
• 8+ years of professional or academic experience.

Responsibilities

• Develop, modify, and maintain components of advanced atmospheric modeling systems within MPAS and/or WRF frameworks.
• Implement and evaluate ensemble-based data assimilation methodologies for integrating satellite and in situ observations into fire, smoke, and aerosol prediction systems.
• Conduct research and development activities to improve fire behavior, smoke transport, and aerosol parameterizations in numerical weather prediction models.
• Design, execute, and analyze convective- and meso-scale modeling experiments using high-performance computing (HPC) resources.
• Develop workflows and software tools using Git, Python, Bash, Fortran, and related technologies to support model development, testing, and evaluation.
• Analyze model performance and observational datasets to identify opportunities for improving forecast skill and physical representation of fire-atmosphere processes.
• Collaborate with multidisciplinary research teams to support development of next-generation fire and smoke forecasting capabilities.
• Prepare technical documentation, code repositories, validation reports, and workflow descriptions to support research and operational activities.
• Contribute to project reporting requirements, including quarterly and annual progress reports.
• Lead or contribute to peer-reviewed scientific publications and present research findings at national and international conferences, workshops, and stakeholder meetings

Skills

Convective-scale modeling

Meso-scale modeling

Ensemble-based data assimilation

Fire and smoke modeling

High-performance computing

Code development

Scientific communication

Education

MS Degree (PhD Preferred) in meteorology, atmospheric science, computer science, engineering, or related field

Tools

MPAS

WRF

Python

Bash

Fortran

Git

Job description

FWI is seeking a Satellite Data Assimilation and Fire Weather Modeling Specialist to advance MPAS/WRF-based systems for WoFS. You will integrate satellite and in-situ data within ensemble data assimilation to improve fire behavior, smoke transport, and aerosol forecasts.

The role demands 8+ years of experience, strong coding skills (Python, Bash, Fortran, Git), and experience with HPC environments. Expect remote, full-time work with collaboration across multidisciplinary teams.