Postdoctoral Appointee - AI Foundation Models for Atmospheric Science
Tasks
- Apply regional refinement
- Collaborate with scientists on predictability research
- Couple ocean components to forecasting models
- Create calibrated probabilistic forecasts
- Develop generative AI ensemble systems
- Document research findings
- Evaluate weather foundation models
- Perform data assimilation
- Publish technical reports and papers
- Train deep learning models on GPUs
- Write scientific code
Perks/Benefits
- N/A
Skills/Tech-stack
Atmospheric Observational Datasets | Atmospheric Science | Atmospheric dynamics | Data Analysis | Data Assimilation | Deep learning | Diffusion Models | Distributed Training | Ensemble Methods | GPU Computing | Generative AI | HPC | High Resolution | High-resolution modeling | JAX | Machine Learning | Numerical Computation | Ocean modeling | Probabilistic Forecasting | PyTorch | Scientific Computing | Scientific Data | Scientific Data Analysis | Weather forecasting
Education
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