Postdoctoral Appointee - Convective Storms and Severe Weather

Argonne National Laboratory

Lemont (IL)

On-site

USD 72,879 - 121,465

Full time

14 days+
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Argonne National Laboratory is seeking a highly motivated postdoctoral researcher to enhance severe weather prediction through physics-based and AI/ML approaches. The successful candidate will conduct high-resolution simulations and contribute to model development while publishing findings and collaborating with the Earth system science community.

This role requires a Ph.D. in Atmospheric Science or related field, strong numerical modeling skills, and proficiency in programming languages like Python and C++. The position offers a comprehensive benefits package and a competitive salary range of $72,879.00-$121,465.00.

Qualifications

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

Responsibilities

  • Conduct high-resolution model simulations of convective storms.
  • Contribute to model development using AI/ML approaches.
  • Analyze model outputs alongside observational datasets.

Skills

Numerical modeling
High-performance computing
AI/ML methods
Scientific writing
Team collaboration
Data analysis techniques

Education

Ph.D. in Atmospheric Science or related field

Tools

Python
Fortran
C++

Job description

Position Overview

The Environmental Science Division at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to advance the understanding and prediction of severe weather using both 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
  • Conducting high-resolution model simulations of convective storms
  • Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere interactions, and aerosol–cloud interactions
  • Analyzing model outputs alongside observational datasets to advance physical understanding
  • Publishing research findings in peer-reviewed journals and presenting results at scientific meetings
  • Collaborating closely with scientists in the broad Earth system Science community and with industry partners
Position Requirements
  • 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 both 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
Pay Range and Benefits

The expected hiring range for this position is $72,879.00-$121,465.00. Compensation will be determined based on scope, qualifications, and other factors. Comprehensive benefits are part of the total rewards package.

Employment Conditions

All offers of employment are contingent upon a background check and may require a government access authorization. Failure to obtain or maintain such authorization could result in the withdrawal of a job offer or future termination of employment.

Equal Employment Opportunity

As an equal employment opportunity employer, 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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Postdoctoral Appointee - Convective Storms and Severe Weather
Postdoctoral Appointee - Convective Storms and Severe Weather

Argonne National Laboratory • United States

On-site
USD 72,000 - 122,000
Comprehensive benefits package
Collaborative workplace environment
Opportunities for scientific discovery
Postdoctoral Appointee - Convective Storms and Severe Weather Postdoctoral Appointee - Convecti[...]
Postdoctoral Appointee - Convective Storms and Severe Weather Postdoctoral Appointee - Convecti[...]

Seeds Renewables • Lemont (IL)

On-site
USD 72,000 - 122,000
Employee benefits
Postdoc: High-Res Convective Storm Modeling & AI
Postdoc: High-Res Convective Storm Modeling & AI

Argonne National Laboratory • Lemont (IL)

On-site
USD 72,879 - 121,465
Postdoctoral Fellow: AI-Driven Severe Weather Modeling
Postdoctoral Fellow: AI-Driven Severe Weather Modeling

Argonne National Laboratory • United States

On-site
USD 72,000 - 122,000
Comprehensive benefits package
Collaborative workplace environment
Opportunities for scientific discovery
AI Models for Earthsystem AI Models for Earthsystem Argonne National Laboratory In-person · Lem[...]
AI Models for Earthsystem AI Models for Earthsystem Argonne National Laboratory In-person · Lem[...]

Seeds Renewables • Lemont (IL)

On-site
USD 90,000 - 130,000
Postdoc: AI-Driven High-Res Convective Storms
Postdoc: AI-Driven High-Res Convective Storms

Seeds Renewables • Lemont (IL)

On-site
USD 72,000 - 122,000
Employee benefits
Postdoctoral Appointee - Coastal-urban Flooding Postdoctoral Appointee - Coastal-urban Flooding[...]
Postdoctoral Appointee - Coastal-urban Flooding Postdoctoral Appointee - Coastal-urban Flooding[...]

Seeds Renewables • Lemont (IL)

On-site
USD 70,000 - 118,000
AI Weather Modeling Lead for Subseasonal Forecasts
AI Weather Modeling Lead for Subseasonal Forecasts

Seeds Renewables • Lemont (IL)

On-site
USD 90,000 - 130,000
Staff Scientist – AI for Science Staff Scientist – AI for Science Argonne National Laboratory H[...]
Staff Scientist – AI for Science Staff Scientist – AI for Science Argonne National Laboratory H[...]

Seeds Renewables • Lemont (IL)

Hybrid
USD 94,000 - 148,000
Engineering Systems Modeling-Simulation-Analyst
Engineering Systems Modeling-Simulation-Analyst

Argonne National Laboratory • Lemont (IL)

On-site
USD 116,000 - 181,000
Comprehensive benefits