Research engineer, greenhouse gas emissions retrieval by satellite and uncertainty quantification (24 months)

Contexte et atouts du poste

Job environment

This position is part of a cooperation between the Maasai team and the company QAIrbon, with the goal of improving uncertainty quantification of greenhouse gas (GHG) emission predictions. Maasai (Models and Algorithms for Artificial Intelligence) is an Inria team working on machine learning and its applications. QAIrbon is a start-up founded in 2024 developing a solution to quantify worldwide industrial CO2 emissions at the facility level leveraging satellite imagery. It aims at providing a measurement-based approach to replace voluntary reporting using emission factors prone to errors and lack of reliability.

Travel and mobility

The recruited engineer will be integrated into the Maasai team at Centre Inria at Université Côte d’Azur and will interact regularly with project partners from both Inria and QAIrbon. The position involves occasional travel for collaboration meetings between ...