[ES_JOBS_NET] New Job Opportunity: Physical Scientist and Warn-on-Forecast System Developer at Lynker/NOAA NWS OMD

[Jili Dong]

Lynker is looking for Warn-on-Forecast system developers working at
NOAA/NWS/OMD (Office of Modeling and Development). If interested, please
use this link to apply:

https://careers-lynker.icims.com/jobs/1571/physical-scientist-and-warn-on-forecast-system-developer/job
Overview

Lynker is seeking two talented physical scientists to support development
and operational transition of NOAA’s Warn-on-Forecast Systems (WoFS) under
the Precipitation Prediction Grand Challenge (PPGC) program at the National
Weather Service Office of Modeling and Development. The successful
candidates will support the operational transition of the cloud-based WoFS
version 1 which is built on the Weather Research and Forecasting (WRF)
model and the Gridpoint Statistical Interpolation (GSI) data assimilation
system, ensuring  the system meets operational implementation requirements,
expanding the system to provide domains beyond the CONUS region, while
improving forecast of extreme precipitation events and other high impact
weather such as  tornadoes. The candidates will also collaborate with the
National Severe Storm Laboratory (NSSL) and other partners on the
development of next generation of WoFS (i.e., version 2) based on the Model
for Prediction Across Scales (MPAS) and the Joint Effort for Data
Assimilation Integration (JEDI) system.
Responsibilities

*Successful candidates for this position will support the operational
transition of WoFSv1 and the development of WoFS v2 within a cloud
environment, focusing on model development, system integration, testing and
optimization, and transition of WoFS v1 capabilities into NWS operations.*



*Duties of the Physical Scientist and Warn-on-Forecast System Developer
will include the following:*



   - Harden the cloud-based WoFSv1 system to meet the NWS NCO operational
   implementation requirements and support its operational transition.
   - Conduct rigorous model performance evaluations, benchmarking (WoFSv1
   vs. WoFSv2), as well as retrospective and real-time simulations to evaluate
   forecast skills, operational readiness, and overall system value.
   - Expand the system’s geographical scope by developing the capability to
   run WoFS outside the CONUS domain.
   - Develop new WoFS products and metrics for a wider range of high-impact
   weather hazards beyond severe convection, leveraging forecasters input.
   - Support the development and testing of the MPAS-JEDI-based WoFS v2
   prototype.
   - Develop a robust, unified end-to-end workflow for the WoFSv2 system,
   integrating all components: model input preprocessing, data assimilation,
   forecasting, post-processing, product generation, and visualization.
   - Establish, maintain, and manage GitHub repositories to support version
   control and code development.




Qualifications

*The Ideal Physical Scientist and Warn-on-Forecast System Developer will
have the following:*



   - Education: M.S or higher in Atmospheric Science, Meteorology, Computer
   Science, Software Engineering, or a closely related field.
   - Advanced knowledge of Numerical Weather Prediction (NWP) modeling of
   convective and mesoscale meteorology, ensemble data assimilation, and
   atmospheric physics and dynamics.
   - Experience in developing weather forecasting systems built on WRF and
   MPAS
   - Experience in software development, code management (e.g., GitHub),
   and integrating complex modeling and data assimilation components.
   - Experience assimilating weather radar, satellite, conventional,
   mesonet and conventional observations with GSI or JEDI to improve initial
   conditions for rapid-fresh, convection-allowing ensemble short-range
   weather prediction systems is preferred.
   - Programming Skills: Strong proficiency in Fortran and modern scripting
   languages, particularly Python (including scientific packages for AI/ML
   training and verification).
   - Experience working within cloud High Performance Computing
   environments is highly desired.
   - Communication: Excellent oral and written communication skills with a
   proven ability to work both independently and within a multi-disciplinary
   team.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20260629/9f774387/attachment.htm>