Young Investigator, 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
Senior IC machine-learning engineer (climate modeling)
Builds
Open-source 'AI-first' climate model and related research outputs
Domain
Climate science + Machine Learning
Deliverable
production ML models
Required skills
Python, ML application deployment, JAX, physics-informed modeling, climate data analysis, open-source code development, conference presentation, peer-reviewed publication
Preferred skills
Physically-based atmospheric/oceanic model development, graduate-level ML coursework
Technologies
JAX, NeuralGCM, Python
Responsibilities
Design and evaluate NeuralGCM+ training and testing cases using historical data and climate model outputs; Implement model improvements to enhance generalizability to unseen climates and simulate earth system coupling; Present results at major AI and climate modeling conferences; Develop open-source code and collaborate on design documents; Mentor interns
Seniority
Senior, hands-on IC
