Deep Learning for Earth System Modeling Evaluation - Postdoctoral Researcher

Join Lawrence Livermore National Laboratory as a Postdoctoral Researcher in Deep Learning for Earth System Modeling to conduct cutting-edge research at the intersection of deep learning, atmospheric science, and statistical methods. You will be responsible for operationalizing AI-based weather and climate models and rigorously evaluating their performance against observations and traditional models.

Requirements

• PhD in Atmospheric Science, Data Science, or related field
• Experience conducting research in atmospheric science or closely related fields
• Ability to manipulate and analyze large, and complex ESM output datasets, such as those collected in the Coupled Model Intercomparison Project
• Proficient programming skills using Python and demonstrated experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Experience using high-performance computing environments
• Proficient verbal and written communication skills as evidenced by peer reviewed publications and presentations
• Ability to work independently as well as effectively in a collaborative, multidisciplinary team environment
• Ability to travel as required

Benefits

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules