Postdoc: AI-Driven High-Res Convective Storms

Seeds Renewables; Lemont (IL); On-site; USD 72,879 - 121,465; Full time

Benefits offered by this job

Employee benefits

Job summary

Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee to advance the understanding and prediction of severe weather. The role involves high-resolution Earth system modeling and using AI/ML approaches to enhance predictive skills. Candidates should have a Ph.D. in Atmospheric Science or a related field, expertise in convective storms or numerical modeling, and strong programming skills (Python, Fortran, C++). The expected hiring range is $72,879–$121,465 with employee benefits included.

Qualifications

• Ph.D. completed within the last 0–5 years in Atmospheric Science or a related field.
• Demonstrated expertise in convective storms, precipitation processes, or related areas.
• Strong experience in numerical modeling and high-performance computing.

Responsibilities

• Conduct high-resolution simulations of convective storms.
• Develop models with AI/ML approaches in various atmospheric processes.
• Analyze model outputs in conjunction with observational datasets.

Skills

Numerical modeling

Programming (Python, Fortran, C++)

Data analysis techniques

Communication skills

Education

Ph.D. in Atmospheric Science or related field

Tools

AI/ML algorithms

C++

GPU-based systems

Job description

Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee to advance the understanding and prediction of severe weather. The role involves high-resolution Earth system modeling and using AI/ML approaches to enhance predictive skills. Candidates should have a Ph.D. in Atmospheric Science or a related field, expertise in convective storms or numerical modeling, and strong programming skills (Python, Fortran, C++). The expected hiring range is $72,879–$121,465 with employee benefits included.