Jobs · Analyst · Illinois

Postdoctoral Appointee - Land-atmospheric interactions and hydrological extremes

Argonne National Laboratory · Lemont, IL · 1 wk ago
Analyst$73k–$121k/yrFull-time

About the role

The Argonne National Laboratory, supported by the U.S. Department of Energy, seeks a Postdoctoral Research Associate to investigate the role of land-atmosphere interactions in short-term to seasonal predictability. This role focuses on understanding impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms that influence extreme events.

Responsibilities

  • Work with observational and modeling teams using ARM User Facility datasets, including Bankhead National Forest and DUSTIEAIM datasets.
  • Utilize advanced modeling frameworks like E3SM or data-driven AI models.
  • Develop and train AI/ML deep learning models, working with agent-based workflows.
  • Collaborate with observational and modeling teams to analyze large datasets.
  • Contribute to scientific publications through research and analysis.

Requirements

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

Qualifications

  • Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Skills

  • Expertise in atmospheric science and climate modeling.
  • Proficiency in Python, C++, or similar programming languages.
  • Experience with machine learning and deep learning techniques.
  • Knowledge of Earth system modeling and observational datasets.

Benefits

Comprehensive benefits are part of the total rewards package, including a competitive salary range of $72,879.00-$121,465.00, depending on qualifications and experience. Additional details about benefits can be found here.

Pay

$72,879.00 - $121,465.00

Schedule

Full-time

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