AI Scientist for Arctic Climate Modeling & Data Analysis

Université Grenoble Alpes; France; Sur place; EUR 32 000 - 52 000; Plein temps

Résumé du poste

Université Grenoble Alpes, based in France, invites applications for a First Stage Researcher (R1) position in the Institute of Environmental Geosciences (IGE). The project merges geosciences, modelling, data science and AI, with access to HPC resources and the MIAI cluster, including research stays at Wageningen University in the Netherlands.

You will analyse MOSAiC data, apply ML to atmospheric ozone problems, and develop interpretable parameterizations to improve models, while publishing

Qualifications

• Experience in machine learning applied to environmental or geoscience data.
• Proficiency in Python, R and/or Fortran and data analysis tools.
• Fluent scientific English, both written and spoken.
• First-author scientific publication.

Responsabilités

• Analyse and harmonise MOSAiC data to investigate discrepancies between observations and Arctic ozone simulations
• Use machine learning methods to identify the main physical, chemical and meteorological factors influencing ozone
• Develop and validate interpretable parameterizations to improve atmospheric chemistry models
• Integrate and test these improvements in the existing 1D model
• Work closely with Wageningen University, including several research stays in the Netherlands
• Make use of PING/MIAI computing resources and AI tools
• Disseminate results through scientific publications and conference presentations

Connaissances

Python

R

Fortran

Data analysis

Machine learning

Atmospheric modelling

HPC

English proficiency

Formation

PhD in meteorology or related field

Outils

HPC clusters

Description du poste

Université Grenoble Alpes, based in France, invites applications for a First Stage Researcher (R1) position in the Institute of Environmental Geosciences (IGE). The project merges geosciences, modelling, data science and AI, with access to HPC resources and the MIAI cluster, including research stays at Wageningen University in the Netherlands.

You will analyse MOSAiC data, apply ML to atmospheric ozone problems, and develop interpretable parameterizations to improve models, while publishing