Education: Doctorate
- Deep expertise in atmospheric science, meteorology, or a closely related field (typically a PhD or equivalent research experience)
- Familiarity with operational forecasting, numerical weather prediction, and forecast verification methods
- Comfort working with large observational and reanalysis datasets
- Ability to collaborate closely with ML researchers and translate domain knowledge into technical requirements
- A rigorous, evidence-driven approach to evaluating model quality
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