AI-Driven Climate Modeling Scientist (3-Year Project)

Allen Institute for Artificial Intelligence

Seattle (WA)

On-site

USD 167,000 - 261,000

Full time

3 days ago

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Job summary

Allen Institute for Artificial Intelligence in Seattle is seeking one or more Research Scientists for a three-year project to develop an AI-powered climate model trained on historical data. The role emphasizes coupling ML with physics-based climate modeling and advancing future climate projections with ML-based components.

The project is grant-supported with potential continued funding beyond 2029. The team collaborates across ML and earth sciences, with a strong emphasis on open-source

Qualifications

Substantial experience building and deploying an ML application in a research or practical setting.
Fluent in Python and collaborative coding practices.
PhD in a relevant field with at least one accepted conference paper or peer-reviewed publication using ML.

Responsibilities

Design and implement strategy to couple NeuralGCM with the chosen ocean model.
Decompose physical parameterizations into physics-based vs learnable components for unseen climates.
Present results at major AI and climate conferences and in peer-reviewed publications.
Open-source code development and daily collaboration with external collaborators.
Mentor postdocs and interns.

Skills

Python

Machine learning

Collaborative coding

Communication skills

Education

PhD in computer or computational science, applied mathematics/statistics, or atmospheric science

Tools

JAX

Job description

The project is grant-supported with potential continued funding beyond 2029. The team collaborates across ML and earth sciences, with a strong emphasis on open-source

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