Deep Learning for Earth System Modeling Evaluation - Postdoctoral Researcher

Lawrence Livermore National Laboratory (LLNL) is advancing science and technology to strengthen U.S. security and promote global stability. They are seeking a Postdoctoral Researcher in Deep Learning for Earth System Modeling to conduct research on AI-based Earth System models, evaluate their performance, and collaborate with a multidisciplinary team of experts.

Responsibilities:

• Conduct research on the ability of Deep Learning Earth System Models (DL-ESMs) to accelerate Earth System science
• Apply a set of standard metrics based on DL-ESM outputs, and design, develop and carry out innovative advanced experiments (e.g., storyline analyses, or implementing nudging methods) to evaluate the trustworthiness of DL-ESMs against conventional ESMs and observational datasets
• Engage and actively contribute to the international initiative AI-MIP, an effort to define a standard set of experiments for evaluating and benchmarking state-of-the-art DL-ESMs
• Pursue independent research and work closely with colleagues in a multidisciplinary team environment to advance research goals
• Prepare comprehensive documentations of findings to guide future users
• Publish research results in peer-reviewed scientific or technical journals and present results at external conferences and seminars
• Travel as required to coordinate research with collaborators or participate in relevant hackathons
• Perform other duties as assigned