Convective-Scale Modeling Systems Lead (Hybrid)

careers-fedwriters; Norman (OK); Hybrid; USD 83,000 - 87,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Paid Time Off

Job summary

FWI seeks an MPAS-JEDI Systems and Convective-Scale Modeling Specialist to develop, install, and support MPAS-JEDI and related modeling/data assimilation systems across HPC, cloud, and operational platforms. You will work on WoFS/WoFSCast research and operational transition and diagnose storm-scale forecast issues.

The role emphasizes Python, Bash, Git, and Fortran workflow tools, real-time and retrospective workflows, and collaboration with scientists and engineers to advance forecasting

Qualifications

• MA/MS (PhD preferred) in meteorology, atmospheric science, computer science, engineering, applied mathematics, or related field.
• 8+ years of relevant professional or academic experience.
• Experience with convective- and meso-scale numerical weather prediction and ensemble-based data assimilation is desirable.

Responsibilities

• Develop, install, maintain, and support MPAS-JEDI and related atmospheric modeling and data assimilation systems on HPC, cloud, and operational computing platforms.
• Develop and maintain scientific software, workflows, and automation tools using Python, Bash, Git, Fortran, and related technologies.
• Implement and support real-time and retrospective modeling workflows using workflow management systems such as EC-Flow, Rocoto, or similar frameworks.
• Support ensemble-based data assimilation, numerical weather prediction, software integration, testing, version control, and operational transition activities.
• Manage, organize, and validate large modeling and observational datasets supporting WoFS, WoFSCast, MPAS-JEDI, and ML/AI applications.
• Conduct model verification, diagnostics, quality control, and forecast evaluation using METplus and related verification frameworks.
• Design, execute, and analyze convective- and meso-scale numerical experiments focused on storm-scale forecasting and data assimilation applications.
• Collaborate with scientists, students, software engineers, and operational partners to resolve technical issues and advance forecasting capabilities.
• Prepare technical documentation, reports, presentations, and scientific publications supporting project and research objectives.

Skills

Python

Bash

Git

HPC software development

Workflow tools

Education

MS/MA (PhD preferred) in meteorology or related field

Tools

EC-Flow

Rocoto

METplus

MPAS-JEDI / MPAS / JEDI

WoFS / WoFSCast

WRF

Job description

FWI seeks an MPAS-JEDI Systems and Convective-Scale Modeling Specialist to develop, install, and support MPAS-JEDI and related modeling/data assimilation systems across HPC, cloud, and operational platforms. You will work on WoFS/WoFSCast research and operational transition and diagnose storm-scale forecast issues.

The role emphasizes Python, Bash, Git, and Fortran workflow tools, real-time and retrospective workflows, and collaboration with scientists and engineers to advance forecasting