Postdoctoral Appointee - Land-atmospheric interactions and hydrological extremes

Overview

The Argonne National Laboratory at the U.S. Department of Energy invites applications for a Postdoctoral Research Associate position focused on the relative role of land–atmosphere interactions in seasonal‑to‑subseasonal (S2S) predictability. The candidate will investigate boundary‑layer processes, aerosol–cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms that influence the development, intensification, and persistence of extreme events. Work will involve observational datasets, machine learning, and Earth system modeling.

The successful candidate will:

• Work with observational and modeling teams using data from the Atmospheric Radiation Measurement (ARM) User Facility, including the Bankhead National Forest (BNF) and Desert‑Urban System Integrated Atmospheric Monsoon (DUSTIEAIM) datasets.
• Apply advanced modeling frameworks such as the Energy Exascale Earth System Model (E3SM) or data‑driven AI models to study land‑atmosphere interactions.
• Analyze large observational and model datasets to understand atmospheric dynamics, turbulence, cloud physics, and precipitation processes.
• Develop AI/ML and deep‑learning models, design agentic workflows, and employ emerging AI techniques and tools.
• Write and publish scientific research papers, communicating findings to the broader scientific community.
• Model Argonne’s Core Values:
  Impact, Safety, Respect, Integrity, and Teamwork.
• Operate as a postdoctoral appointee in a long‑term (fixed‑term), full‑time position. The expected hiring range is $72,879.00‑$; salary is determined by qualifications, responsibilities, and market considerations.

• Completed or soon‑to‑be‑completed Ph.D. within the last 0‑5 years in Atmospheric Science, Meteorology, Climate Science, Applied Mathematics, Data Science, or a related field with strong quantitative and computational research experience.
• Strong background in atmospheric dynamics, turbulence, land‑atmosphere interactions, cloud physics, or precipitation processes.
• Experience working with large observational or model datasets.
• Experience developing AI/ML deep‑learning models and working with emerging AI techniques and tools.
• Programming experience in Python, C++, or similar scientific computing environments.
• Demonstrated ability to publish scientific research.

Comprehensive benefits are part of the total rewards package. Salary ranges from $72,879.00 to $; final compensation will be based on qualifications, responsibilities, and market factors.

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity, and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.