Postdoctoral Scholar - AI-Driven Weather & Ocean Forecasts

UC Irvine; Irvine (CA); On-site; USD 69,000 - 83,000; Full time

Benefits offered by this job

Generous benefits

Job summary

UC Irvine seeks a postdoctoral scholar to study atmospheric and ocean–atmosphere processes that improve short- to seasonal-precipitation predictions for the western United States. The position involves close collaboration with ESS, CS, and Statistics teams, and spans deep generative modeling with traditional climate dynamics.

The two-year appointment is renewable pending funding, with salary from the Postdoc Salary Scale and generous benefits.

Qualifications

• PhD in atmospheric science or related field or a PhD in computer science/applied math/stats with atmospheric/climate publications.
• Strong quantitative skills and domain knowledge of teleconnections and climate patterns.

Responsibilities

• Conduct research on atmospheric/ocean–atmosphere processes to improve short- to seasonal-precipitation forecasts.
• Collaborate with multidisciplinary team including ESS faculty, graduate students, and CS/Statistics researchers.
• Publish results and present findings through talks and papers.

Skills

Quantitative skills

Python programming

Independent & collaborative

Scientific communication

Deep learning frameworks

Education

PhD in atmospheric science or related

PhD in computer science / applied math / stats with atmospheric focus

Tools

Python

High performance computing

Job description

UC Irvine seeks a postdoctoral scholar to study atmospheric and ocean–atmosphere processes that improve short- to seasonal-precipitation predictions for the western United States. The position involves close collaboration with ESS, CS, and Statistics teams, and spans deep generative modeling with traditional climate dynamics.

The two-year appointment is renewable pending funding, with salary from the Postdoc Salary Scale and generous benefits.