Research Scientist, Climate Modeling
Core
Develop an AI-powered physics-informed hybrid climate model (NeuralGCM+) capable of multidecadal forecasts more accurate than current state-of-the-art models.
Role type
Research Scientist (AI/Climate Modeling)
Builds
Open-source 'AI-first' climate model and ML-based ocean model coupling
Domain
Climate science + Machine Learning
Deliverable
production ML models
Required skills
Python, JAX, TPU, ML application deployment, peer-reviewed publication record, PhD in CS/Computational Science/Atmospheric Science
Preferred skills
Physically-based atmospheric/oceanic model development, post-doctoral ML experience, graduate-level ML coursework
Technologies
JAX, TPUs, NeuralGCM
Responsibilities
Design and implement coupling strategies between NeuralGCM and ocean models; Decompose physical parameterizations into equation-based and learned parts; Present results at conferences and in publications; Open-source code development and code review; Mentor postdocs and interns
Seniority
Senior, hands-on IC
