Postdoctoral Appointee

Argonne National Laboratory seeks a highly motivated post-doctoral appointee to support the development, benchmarking, and deployment of AI foundation models for weather and infrastructure resilience workflows. The role involves collaborating with scientists across divisions to apply machine learning and deep learning techniques to large dynamical systems, with a focus on subseasonal-to-seasonal forecasting. This is a full-time, one-year position with the potential for extension, requiring expertise in distributed training on GPU-based machines and generative AI methods.