Careers

We are seeking a highly motivated individual to improve high resolution fire weather warning guidance using high resolution forecast models such as the NSSL Warn-on-Forecast System (WoFS). The primary task of this position is to further improve future fire weather warning guidance thorugh coupling of WoFS or similar systems with fire spread models, development of innovative visualization products, and verification of these improvements against radar and satellite observations.

This position focuses on the support of data collection related to severe storm environment and hazard studies, using NSSL and partner observing platforms. You will be a part of a team that is intricately involved in field activities, including the uncrewed aircraft system research program, radiosonde to large payload ballooning, deployment of mobile crewed and uncrewed assets and platforms, and field data stewardship.

The primary tasks of this position is to verify medium-range convection-allowing forecasts for different model configurations, examine sources of predictability with the model forecasts, and facilitate a Hazardous Weather Testbed experiment on extended-range predictability of severe weather.

This position presents an exciting opportunity to shape the future of weather radar applications and contribute to cutting-edge research and development. Come be a part of the SHARP Team (Stormscale Hydromet Analysis and Remote Sensing Processes) and help drive advancements in weather radar data and applications. These products and techniques are integrated into real-time applications within the Multi-Radar Multi-Sensor (MRMS) system.

This position will advance the next-generation Warn-on-Forecast System by integrating machine learning and deep learning techniques into the Model for Prediction Across Scales-Atmosphere (MPAS-A) dynamical core and the Joint Effort for Data Assimilation (JEDI) , enabling the development of hybrid AI-Numerical Weather Prediction methods that improve forecast performance.

This position will develop a refined hail climatology in support of an Industry Proving Ground proposal. The Researcher will improve the understanding of historical hail frequency and the storm-scale to synoptic-scale drivers of hail events. 

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 within the Storm Processes Analysis, Research, and Knowledge (SPARK) Team presents an exciting opportunity to be part of a highly collaborative team interested in understanding convective storm-scale processes and exploring transitions of cutting-edge research into operations.

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 is a unique opportunity to work collaboratively with the National Severe Storms Laboratory and contribute to the Warn-on-Forecast (WoF) program. This position will help develop the next generation WoF system using the regional Model for Prediction Across Scales-Atmosphere (MPAS-A) dynamic core and the Joint Effort for Data Assimilation Integration (JEDI) system.

This annual fellowship offers the opportunity to conduct research relevant to one of CIWRO's five themes, assisting forecaster operations with the aim to save lives and property.

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.

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Discover your potential as a career-track Research Associate Software Developer with the Advanced Radar Techniques (ART). This position presents an exciting opportunity to shape the future of weather radar applications and contribute to cutting edge research and development.

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.

Please check back later.

Please check back later.