Atmospheric Science AI Trainer & Climate Modeling Expert

ixolabs.ai; France; À distance; EUR 82 656 - 165 312; Temps partiel

Résumé du poste

ixolabs.ai seeks an Atmospheric Science Expert to help train AI models in meteorology, climate modeling, and atmospheric physics. You will craft data, explanations, and problem sets for concepts like radiative transfer and severe weather, enabling AI to interpret satellite data and forecasts with precision.

The role focuses on developing robust training materials, evaluating AI forecasts, and providing feedback on climate and atmospheric models.

Qualifications

• Master's or PhD in Atmospheric Science, Meteorology, Climate Science, or a closely related geophysical field.
• Extensive experience with atmospheric data analysis, numerical weather prediction (NWP) models, or climate models.
• Deep understanding of fluid dynamics, thermodynamics, and radiative processes relevant to the atmosphere.
• Proficiency with scientific programming languages (e.g., Python, Fortran, MATLAB) for atmospheric data manipulation.
• Exceptional ability to articulate complex atmospheric phenomena and theoretical frameworks with precision.
• Familiarity with reanalysis datasets (e.g., ERA5, NCEP/NCAR) and observational platforms.

Responsabilités

• Develop comprehensive training data for meteorological concepts, including atmospheric dynamics, thermodynamics, cloud physics, and severe weather phenomena.
• Create detailed explanations and problem solutions for climate modeling principles, general circulation models (GCMs), and regional climate models.
• Formulate and elaborate on concepts in atmospheric physics, such as radiative transfer, boundary layer processes, and atmospheric optics.
• Evaluate AI-generated weather forecasts, climate projections, and atmospheric data interpretations, correcting scientific inaccuracies and methodological flaws.
• Design training content on atmospheric chemistry, air pollution transport, and stratospheric ozone depletion.
• Provide expert feedback on AI's ability to interpret satellite imagery, radar data, and other observational atmospheric datasets.

Connaissances

Atmospheric data analysis

NWP models

Climate models

Python

Fortran

MATLAB

ERA5 data

NCEP/NCAR data

Formation

Master's or PhD in Atmospheric Science

Outils

ERA5

NWP tools

Climate modeling tools

Description du poste

ixolabs.ai seeks an Atmospheric Science Expert to help train AI models in meteorology, climate modeling, and atmospheric physics. You will craft data, explanations, and problem sets for concepts like radiative transfer and severe weather, enabling AI to interpret satellite data and forecasts with precision.

The role focuses on developing robust training materials, evaluating AI forecasts, and providing feedback on climate and atmospheric models.