Careers

The Social Science Research Team is a cross-functional team in partnership with NOAA's National Severe Storms Laboratory that evaluates how severe weather and tornado forecast and warning information is created, used, and acted upon by various entities including National Weather Service forecasters, its partners, and the public.

This position presents an exciting opportunity to support research in flash flooding, aviation weather, and winter storms. You will be working to integrate the National Severe Storms Laboratory flash flood routing model (FLASH) into the Warn-on-Forecast System (WoFS).

This position will advance radar science and algorithm development within the Multi-Radar Multi-Sensor (MRMS) system. The Researcher will have the opportunity to shape the future of weather radar applications and contribute to cutting-edge research and development of radar data fields and radar-derived quantitative precipitation estimations (QPEs). 

This position will focus on developing scientific applications, algorithms, and applied research that support forecasters in the warning decision-making process for severe convective weather events. You will support applied research and the Hazardous Weather Testbed experiments.

This position will advance the Probabilistic Hazard Information (PHI) system using Artificial Intelligence/Machine Learning (AI/ML). You will be working collaboratively with a team of Researchers to design and implement tools for Warn-on-Forecast (WoFS), assist with the Hazardous Weather Testbed, and utilizing your solid understanding of physical- and AI-based atmospheric modeling systems.

Join the Precipitation and Advanced Radar Studies (PARS) team to lead research efforts to investigate how rapidly- and adaptively-scanned phased array radar data might be used to develop and/or improve severe weather detection and warning algorithms.

This Postdoctoral Research Associate position provides an exciting opportunity to lead and participate in cutting-edge research designed to investigate near-ground characteristics of tornadoes and their attendant wind fields. This position will also participate in future VORTEX-related field campaigns.

This position is central to the development of WoFS (Warn-on-Forecast System), focusing on the integration of cutting-edge AI/ML methodologies to enhance WoFSCast. You will contribute directly to the development of WoFSCast, a next-generation AI-based WoFS emulator.

This Postdoctoral Research Associate will help improve NCAR's Model Prediction Across Scales (MPAS) dynamical core and physics configurations for high-resolution forecasts. Utilize your experience with atmospheric weather models and your understanding of atmospheric dynamics and physics to make significant contributions to the development of WoFS.

This Postdoctoral Research Associate will focus on advancing hydrologic modeling for flash flooding. This Postdoctoral position will play an important role in the continued development of WoFS by supporting the coupling, evaluation, and application of the Flooded Locations and Simulated Hydrographs (FLASH) hydrologic model within the WoFS framework.

This Postdoctoral Research Associate will work to improve high resolution fire weather warning guidance by integrating fire spread models with the Warn-on-Forecast System. Use your knowledge and skills to develop innovative probabilistic guidance products for fire spread and generate objective verification metrics for forecasts of wildfire spread using radar and satellite observations.

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The ACME Team is a group of software engineers who work closely with scientists at CIWRO, NSSL, and other organizations to oversee the integration and transition to operations of updates to the Multi-Radar/Multi-Sensor (MRMS) system to the National Weather Service. If you thrive in collaborative environments and are passionate about providing scientific and technical support for real-time applicaiton software then this position is for you.

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