Climate AI Research Scientist: Foundation Models & Physics

New York University; New York (NY); On-site; USD 59,000 - 110,000; Full time

Job summary

New York University’s Courant Institute invites applications for a full-time Assistant Research Scientist to join a frontier research collaboration on next-generation AI methods for scientific applications, especially physics-based climate modeling.

The role focuses on developing physics-constrained AI models, evaluating generalization to new forcings and extreme events, and collaborating with leading scientists in a multi-institution network.

Qualifications

• Education: Bachelor's degree in computer science, machine learning, applied mathematics, engineering, physical science, or related technical discipline.
• Master's degree is a plus.
• 2+ years of research experience.
• Expertise in deep learning and computational science.
• Python proficiency.
• HPC experience preferred.

Responsibilities

• Develop physics-constrained AI foundation models for climate predictions.
• Generalize models to unseen climate forcings and extreme events.
• Collaborate with M 2 LInES, Open Athena, Ai2 Climate Modeling, and Cambridge collaborators.
• Build and evaluate AI emulators for ocean, sea-ice, and atmosphere systems.

Skills

Deep learning

Computational science

Python

HPC

Agentic programming

Education

Bachelor's degree

Master's degree (a plus)

Job description

New York University’s Courant Institute invites applications for a full-time Assistant Research Scientist to join a frontier research collaboration on next-generation AI methods for scientific applications, especially physics-based climate modeling.

The role focuses on developing physics-constrained AI models, evaluating generalization to new forcings and extreme events, and collaborating with leading scientists in a multi-institution network.