Description
We seek a Research Scientist 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.
You will join a small team to develop the desired NeuralGCM+ model and foster its uptake by the climate modeling community. This includes coupling it to an ML-based ocean model and designing approaches to demonstrably improve its skill in unseen climates.
Responsibilities:
- Designing, implementing and testing a strategy for coupling NeuralGCM with the chosen ocean model.
- Designing, implementing and testing a strategy for decomposing physical parameterizations and constraints into parts encoded based on physical equations vs. parts that can be learned from historical observations.
- 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 postdocs and interns.
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.
Benefits:
- Medical, dental, vision, and employee assistance program coverage for team members and their families.
- Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
- 401k plan.
- $125 per month for commuting or internet expenses.
- $200 per month for fitness and wellbeing expenses.
- Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
- Annual bonuses and long-term incentive plan participation.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/thealleninstitute/jobs/8234335