Young Investigator, Climate Modeling

The Allen Institute for Artificial Intelligence•Seattle, WA

2d•Onsite

About The Position

We seek a Young Investigator for a new three-year project to develop an AI-powered physics-informed hybrid climate model trained on historical data that is capable of multidecadal forecasts that are more accurate than the current state of the art. We’re looking for someone with experience in AI and earth science who is excited to push the frontier in climate model development. This position has a three year term.

Requirements

Substantial experience building and deploying a relevant ML application in a practical or academic research setting.
Fluent in Python and collaborative coding practices.
Ph. D. in computer or computational science, applied mathematics/statistics, or atmospheric science or a related geophysical science.
At least one accepted conference paper or peer-reviewed first-authored publication making extensive use of ML.
Demonstrated excellent communications skills.

Nice To Haves

Formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development.
Experience writing machine learning code in JAX.
Formal graduate-level ML coursework.

Responsibilities

Select, design and evaluate NeuralGCM+ training and testing cases, using both historical data and customized physics-based climate model outputs.
Conceiving and implementing NeuralGCM+ model improvements that increase its generalizability to unseen climates and improve the simulated coupling between earth system components such as the atmosphere, ocean, land, and sea ice, in collaboration with other team members.
Presenting results at major relevant AI and climate modeling conferences and in peer-reviewed publications.
Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and interaction with external collaborators.
Mentoring interns as appropriate.