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Job Description

The candidate will develop deep-learning frameworks and foundation models for regional/global weather/climate prediction, data assimilation, and related tasks.

Qualifications

• An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields.

• Substantial experience in numerical simulations.

• Familiar with robotics, reinforcement learning, foundation models, and deep learning.