Chercheur (post-doctoral) dans le projet AIACCS (f/h)

Il y a 2 jours

France, Auvergne-Rhône-Alpes Université Grenoble Alpes Temps plein

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Organisation/Company Université Grenoble Alpes Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 13 Oct 2026 - 12:56 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The position is based at the Institute of Environmental Geosciences (IGE), a research institute specializing in climate and environmental change.

You will join an international team working at the intersection of geosciences, modelling, data science and artificial intelligence, with access to HPC resources and the MIAI cluster at Université Grenoble Alpes.

The project will be conducted in collaboration with Wageningen University (the Netherlands), including planned research stays in the Netherlands.

IGE has nearly 300 members, with the Climate-Cryosphere-Hydrosphere (C2H) team comprising around 30 researchers.

You will work closely with PING experts on AI methods and with researchers at Wageningen University.

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

Position-related requirements or constraints:

Flexible working hours, with on-site presence for meetings and collaboration with the teams
Travel in France and internationally
Experience in machine learning applied to environmental or geoscience data
Proficiency in Python, R and/or Fortran, and data analysis tools
Strong skills in processing and interpreting complex datasets, ideally with experience in atmospheric modelling
First-author scientific publication
Fluent scientific English, both written and spoken
Autonomy, rigor, curiosity and initiative
Strong interest in teamwork, interdisciplinary research and international collaborations
Experience with computing clusters and large datasets is an advantage
Preferred qualification: PhD in meteorology, atmospheric chemistry, environmental sciences, physics, climate modelling or data science

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Chercheur (post-doctoral) dans le projet AIACCS (f/h)

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Chercheur (post-doctoral) dans le projet AIACCS (f/h)

Enregistrez cette offre et organisez votre recherche

Offer Description

Emplois similaires à France

Villes principales