Postdoctoral Fellow — Climate Forecasting & AI Research

ROYAL METEOROLOGICAL SOCIETY; Irvine (CA); On-site; USD 69,000 - 83,000; Full time

Job summary

University of California, Irvine seeks a postdoctoral scholar in the Department of Earth System Science to study atmosphere and ocean–atmosphere interactions affecting S2S to seasonal precipitation prediction for the western United States. Collaboration with a multidisciplinary team includes computer science and statistics to integrate deep generative models.

The two-year appointment is renewable pending progress and funding, with a salary of 69,073–82,836 USD per year and generous benefits.

Qualifications

• An expected or somewhat recent PhD in atmospheric science, or related fields; or a PhD in computer science, applied math, statistics, or related fields with demonstrated interest and publications in atmospheric/climate dynamics.
• Strong quantitative skills as well as detailed domain knowledge of teleconnections and climate patterns, both tropical and extratropical.
• Excellent programming skills including some experience with Python. Experience with deep learning software frameworks like PyTorch is preferred.
• Ability to manipulate and analyze large, and complex operational model output datasets, such as those collected from hindcasts or from the Coupled Model Intercomparison Project.
• Excellent 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.
• The ideal candidate will also have some experience with running Global Climate Model experiments and/or AI-based weather prediction experiments using high-performance computing environments.

Skills

Python programming

Quantitative analysis

Deep learning (PyTorch)

Education

PhD in atmospheric science or related field

Tools

PyTorch

Job description

University of California, Irvine seeks a postdoctoral scholar in the Department of Earth System Science to study atmosphere and ocean–atmosphere interactions affecting S2S to seasonal precipitation prediction for the western United States. Collaboration with a multidisciplinary team includes computer science and statistics to integrate deep generative models.

The two-year appointment is renewable pending progress and funding, with a salary of 69,073–82,836 USD per year and generous benefits.