Postdoc in Tropical Ocean-Atmosphere Dynamics & Modeling

University of Colorado; Boulder (CO); Hybrid; USD 65,000 - 70,000; Full time

Job summary

The University of Colorado Boulder’s CIRES and NOAA's PSL seek a Postdoctoral Associate to advance understanding of tropical ocean-atmosphere coupling. You will process and analyze environmental data from TEPEX campaigns, run high-resolution coupled simulations, and apply statistical and machine-learning methods to improve ocean-atmosphere modeling.

You will collaborate with NOAA PSL divisions to address science themes in Marine Resource Management and Predicting Extremes, with opportunities for

Qualifications

• Ph.D. in Atmospheric Sciences or related field required.
• At least 1 year of research experience in ocean-atmosphere coupling.
• Experience with convection-permitting simulations.
• Experience with high-performance computing.
• Experience integrating field campaign data into modeling studies.

Responsibilities

• Leads original research to improve understanding and model representation of tropical ocean-atmosphere coupling and convective variability.
• Contributes to collaborative work through software development and HPC-based experiments for data analysis and visualization.
• Publishes results in peer-reviewed journals.
• Organizes and participates in community-focused activities in Earth Systems Sciences.
• Presents results at scientific meetings and invites external visits.
• Performs other duties as necessary.

Skills

Ocean-atmosphere coupling

High-performance computing

Statistical data analysis

Software development for data

First-author publications

Education

Ph.D. in Atmospheric Sciences or related field

Tools

Convection-permitting simulations

Job description

The University of Colorado Boulder’s CIRES and NOAA's PSL seek a Postdoctoral Associate to advance understanding of tropical ocean-atmosphere coupling. You will process and analyze environmental data from TEPEX campaigns, run high-resolution coupled simulations, and apply statistical and machine-learning methods to improve ocean-atmosphere modeling.

You will collaborate with NOAA PSL divisions to address science themes in Marine Resource Management and Predicting Extremes, with opportunities for