The Environmental Science Division at the Argonne National Laboratory is seeking a highly motivated research scientist experienced with modeling, parameterizing, and analyzing clouds and aerosol-cloud-climate interactions.

In this role you can expect to:

• Work with an interdisciplinary team on model developments of clouds and aerosol-cloud-climate interactions for coarse and high-resolution models on both CPU and GPU computers, including using artificial intelligence (AI) / machine learning (ML) methods.
• Lead the work in modeling weather and climate and evaluating models and parameterizations by using observations from a variety of platforms (satellite, surface-based, and in-situ aircraft).

Position Requirements

• Ph.D. Degree in geophysical sciences and engineering or related fields and 0+ years of experience.
• Strong technical knowledge in cloud physics and aerosol-cloud-climate interactions.
• Experience in parameterizing cloud microphysical and aerosol-cloud-climate interaction processes. Experience in developing E3SM and WRF is preferred.
• Experience in using AI/ML for physics parameterizations is preferred.
• Knowledge of using atmospheric observational datasets and GPU-based computational platforms is desirable.
• Demonstrated success in clear and concise writing of technical papers and in interacting and communicating effectively with colleagues and collaborating with peers.
• Ability to think quickly and problem-solve when managing difficult situations.
• Organizational skills and flexibility in coordinating a broad spectrum of activities.
• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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