Postdoctoral Appointee - Ai Foundation Models For Atmospheric Science

Argonne National Laboratory

Chicago, Illinois, United States
Base: $72,879.00-$121,465.00; bonus/equity: not sp...
Deep learning model development
Pytorch or jax framework expertise
Distributed training on gpu machines
The position focuses on utilizing generative AI to create calibrated ensemble systems for seasonal-to-subseasonal weather forecasts at high resolution

Job Summary

  • The position focuses on utilizing generative AI to create calibrated ensemble systems for seasonal-to-subseasonal weather forecasts at high resolution.
  • Candidates will collaborate with Argonne National Laboratory scientists to evaluate the AERIS model and couple ocean components for improved predictability.
  • This is a one-year fixed-term postdoctoral appointment with the potential for extension, offering competitive compensation and comprehensive benefits.

Matching Summary

The position focuses on utilizing generative AI to create calibrated ensemble systems for seasonal-to-subseasonal weather forecasts at high resolution.

Salary

Base: $72,879.00-$121,465.00; Bonus/Equity: Not specified; Benefits: Comprehensive benefits included

Skills & Requirements

Must-have

  • Deep learning model development
  • PyTorch or JAX framework expertise
  • Distributed training on GPU machines
  • Atmospheric dynamical systems knowledge
  • Scientific code writing skills

Nice-to-have

  • Diffusion-based generative AI methods
  • Coupled atmosphere-ocean modeling experience
  • Data assimilation techniques
  • Probabilistic ensemble system creation
  • Collaboration with public sector stakeholders

Key Requirements

  • PhD in geophysical sciences, computer science, or machine learning
  • 0 to 2 years of relevant post-PhD experience
  • Ability to obtain government access authorization

Work Rights

Must be able to obtain government access authorization

Tailored Resume

Cover Letter