Postdoctoral Researcher - AI for Earth System Sciences
Core
Develop and deploy AI foundation models (transformers, GNN, diffusion) for weather, hydrology, and urban digital twins to support infrastructure and resilience workflows.
Role type
Postdoctoral Researcher (AI for Earth System Sciences)
Builds
AI foundation models for weather and seasonal-to-subseasonal forecasting, hydrology, and urban digital twins
Domain
Earth System Sciences, Atmospheric Science, Machine Learning, High-Performance Computing
Deliverable
production ML models
Required skills
Deep learning, PyTorch/JAX, distributed training on large GPU clusters, transformer models, Graph Neural Networks (GNN), diffusion models, HPC systems, scientific code, data assimilation, atmospheric dynamics
Preferred skills
Generative AI methods, multimodal data training, fine-tuning, optimization, subseasonal-to-seasonal modeling, coupled atmosphere-ocean modeling
Technologies
PyTorch, JAX, Transformers, GNN, Diffusion models, HPC
Responsibilities
Develop and verify deep learning-based models for large dynamical systems; benchmark and deploy models for applications; collaborate with scientists to push predictability boundaries; write technical papers and documentation.
Seniority
Postdoctoral (0-2 years experience)
