Postdoctoral Researcher in the AIACCS Project Université Grenoble Alpes, France

Summary

The University Grenoble Alpes seeks a full‑time postdoctoral researcher for an 18‑month fixed‑term position at the Institute of Environmental Geosciences (IGE). The project, AIACCS, is an international collaboration with Wageningen University to apply artificial intelligence to study Arctic tropospheric ozone using MOSAiC expedition data. Responsibilities include data harmonisation, factor analysis, development of interpretable parameterisations, integration into a one‑dimensional chemistry model, collaboration visits, and dissemination of results. Candidates must hold a PhD in a relevant field, have machine‑learning experience with environmental data, be proficient in Python/R/Fortran, possess strong data‑analysis skills, a first‑author publication, and fluent scientific English. Salary starts at €2,900 gross per month, dependent on experience. Application deadline is 14 October 2026.

Key Facts

Department	Institute of Environmental Geosciences (IGE)
Position Type	Full-time
Discipline	Atmospheric Science
Research Area	Artificial intelligence applied to tropospheric ozone in the Arctic
Degree Required	PhD
Experience	Experience applying machine learning to environmental or geoscientific data
Salary	€2,900 gross per month, depending on experience
Funding	Salary
Contract Duration	18 months
Language	English
Deadline	2026-10-14

About the Project

The AIACCS project aims to use artificial intelligence to reconcile differences between observations and simulations of Arctic tropospheric ozone. Using data from the MOSAiC expedition, the researcher will harmonise observational and model datasets, identify drivers of ozone depletion and recovery, develop and validate interpretable parameterisations, and embed them into an existing one‑dimensional atmospheric chemistry model. The work involves close collaboration with Wageningen University, research visits to the Netherlands, and utilisation of the PING platform and MIAI computing resources.

Key Responsibilities

• Apply AI methods to investigate differences between observations and simulations of Arctic tropospheric ozone
• Harmonise observational and modelling data
• Identify factors affecting ozone depletion and recovery
• Develop and validate interpretable parameterisations
• Integrate parameterisations into a one‑dimensional atmospheric chemistry model
• Collaborate with Wageningen University and conduct research visits to the Netherlands
• Use the PING platform and MIAI computing resources
• Publish and present research results

Required Skills

• Machine‑learning applied to environmental or geoscientific data
• Proficiency in Python, R, and/or Fortran
• Strong data‑analysis skills
• First‑author publication record
• Fluent scientific English
• Atmospheric modelling experience (desirable)
• Experience with computing clusters or big data (desirable)

Who Should Apply

Applicants with a PhD in meteorology, atmospheric chemistry, environmental science, physics, climate modelling, data science or related disciplines, who have applied machine‑learning to environmental or geoscientific data, are proficient in Python, R or Fortran, have strong data‑analysis skills, at least one first‑author publication, and fluent scientific English.

About the Employer

Université Grenoble Alpes is recruiting a full‑time postdoctoral researcher at the Institute of Environmental Geosciences (IGE).

Frequently Asked Questions

What is the contract duration?

The position is an 18‑month fixed‑term contract.

What is the salary?

Salary starts at €2,900 gross per month, depending on experience.

What language proficiency is required?

Fluent scientific English is required.