Polar and Machine Learning Meteorology Research Scientist at SAIC

, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NWP Modeling, Polar Meteorology, Model Transition, Report Writing, Data Processing, FORTRAN, Cylc, MATLAB, Python, Shell Scripting, HPC

Industry

Defense and Space Manufacturing

Description

SAIC is seeking a Polar and Machine Learning Meteorology Research Scientist to support the US Naval Research Laboratory (NRL) Marine Meteorology Division(MMD) in Monterey, CA. This position is 100%25 Remote. The Polar and Machine Learning Meteorology Research Scientist will be responsible for but not limited to the following: Conduct Research on ML Weather Models: Conduct assessments of the ML models to identify its specific strengths, weaknesses, and suitability for key Navy requirements Perform and analyze performance benchmarks by comparing ML forecasts against the global models using standard verification metrics Assess the potential for ML models to drive downstream models Implement and utilize AI-accelerated sensitivity analysis to efficiently identify the most impactful locations for new meteorological observations, particularly in data-limited environments Investigate the fundamental characteristics of error growth and predictability limits in ML weather models, comparing them against traditional physics-based numerical weather prediction models Design and execute targeted perturbation experiments to test scientific hypotheses related to ML model error dynamics and their ability to capture high-impact, extreme weather events Investigate and Model Arctic Weather Phenomena: Analyze the formation, dynamics, and predictability of polar lows, identifying key processes that contribute to these hazardous weather systems Support Operational Transition and Programmatic Requirements: Develop and define transition pathways for implementing validated ML models and tools into operational use at the Fleet Numerical Meteorology and Oceanography Center (FNMOC) Provide expert technical support to FNMOC for the adoption and maintenance of transitioned ML-based forecasting systems Prepare and deliver written materials, technical reports, and summary figures for program reviews and official reports Required Education: Bachelor's degree and three (3) years’ experience; additional four (4) years’ experience can be considered in lieu of degree Required Clearance: Must possess an active Secret security clearance with the ability to maintain; US Citizenship required Required Skills: Demonstrated experience in: Machine Learning related to NWP modeling and applications related to US Navy operations Key processes and prediction of Polar Meteorology Transition of NWP models to Navy operational METOC Centers Must have demonstrated report writing experience Must have demonstrable data processing experience Desired Skills or Required Certifications: Experience with a combination of FORTRAN, Cylc, MATLAB, Python, or Shell Scripting programming languages Experience publishing peer-reviewed scientific literature, software documentation, guidebooks, and/or handbooks High Performance Computing (HPC) experience

Responsibilities

The scientist will conduct research on Machine Learning weather models, performing benchmarks, assessing suitability for Navy requirements, and investigating error growth characteristics compared to physics-based models. Responsibilities also include investigating Arctic weather phenomena and developing transition pathways for validated ML models into operational use at FNMOC.