Short-term forecasting of clouds and other hazardous weather conditions is important to U.S. Navy operations.  This position will involve developing machine learning (ML) based weather models to operate on different combinations of available datasets.  ML weather models provide a computationally lightweight alternative to operational numerical weather prediction (NWP) systems, and can be trained on many different sets of observations.  The successful applicant will develop an ML weather system that uses various inputs to generate the best possible weather forecast guidance.  The project aims to quantify the sensitivity of an ML weather model's performance based on the observations available in the training dataset.  

Additional Benefits

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

A group health insurance program is available to awardees and their qualifying dependents in the United States.