Research opportunities are available with the Physical Sciences Laboratory, Modeling and Data Assimilation Division (MDAD). MDAD develops and tests novel data assimilation and artificial intelligence methods, with a focus on applications that can improve NOAA's Unified Forecast System (UFS), an Earth modeling and data assimilation system, and support associated reanalysis and reforecast products. 

We are particularly interested in applications for projects focusing on coupled data assimilation (land/atmosphere, ocean/atmosphere, strongly coupled DA, etc), ensemble forecasting, online bias correction, particle filters and similar methods, and/or artificial intelligence/machine learning (AI/ML) techniques. This is an exciting opportunity to work on the core science of data assimilation and machine learning, with a clear path for successful new developments to be implemented in NOAA's future operational modeling and data assimilation systems.

key words

Data assimilation; strongly coupled data assimilation; reanalysis; forecasting; ensemble methods; machine learning; artificial intelligence

Citizenship:  Open to U.S. citizens, permanent residents and non-U.S. citizens

Level:  Open to Postdoctoral and Senior applicants