Postdoctoral Appointee - Convective Storms and Severe Weather Postdoctoral Appointee - Convecti[...]

Postdoctoral Appointee – Convective Storms and Severe Weather Argonne National Laboratory, Lemont, IL, US Job Description The Environmental Science Division at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to advance the understanding and prediction of severe weather using physics‑based and AI/ML approaches. This position focuses on high‑resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability, particularly at subseasonal and seasonal lead times. The successful candidate will lead simulations of convective systems using high‑resolution regional and global models, evaluate model performance, and develop innovative approaches to enhance predictive skill. The role also involves integrating AI/ML techniques to advance physical parameterizations and improve severe weather prediction skills. Key Responsibilities Conduct high‑resolution model simulations of convective storms Contribute to model development using AI/ML approaches in areas such as clouds, turbulence, land‑atmosphere interactions, and aerosol‑cloud interactions Analyze model outputs alongside observational datasets to advance physical understanding Publish research findings in peer‑reviewed journals and present results at scientific meetings Collaborate closely with scientists in the broad Earth system science community and with industry partners Required Qualifications Ph.D. (typically completed within the past 0–5 years) in Atmospheric Science or a related field Demonstrated expertise in one or more of the following areas: convective storms, precipitation processes, severe winds, land‑atmosphere interactions, or aerosol‑cloud interactions Strong experience in numerical modeling and high‑performance computing, experience applying AI/ML methods to model development, with strong programming skills (e.g., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work independently and collaboratively in a team environment, with creativity and strong organizational skills Commitment to upholding Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork Preferred Qualifications Experience applying AI/ML algorithms to severe weather prediction Proficiency in C++ and experience running simulations on GPU‑based systems Familiarity with convection‑permitting models such as E3SM and ERF Job Family Postdoctoral Expected Hiring Range $72,879.00–$121,465.00 Benefits Employee benefits are part of the total rewards package. Equal Employment Opportunity Argonne is an equal employment opportunity employer and is committed to nondiscrimination. All qualified applicants are considered for employment without regard to any characteristic protected by law. #J-18808-Ljbffr Seeds Renewables