Offre de contrat post-doctoral
Greenhouse gas emissions monitoring and evaluation
Under the Copernicus Atmospheric Service (https://atmosphere.copernicus.eu) portfolio and the Horizon Europe CAMEO project (https://cordis.europa.eu/project/id/101082125/fr) we are looking for a motivated post–doctoral or young data scientist to work on:
– Development and timely provision of data quantifying the daily emissions of CO2 from fossil fuel burning and cement production at national scale based on near–real–time activity data assembled from the Carbon Monitor project (https://carbonmonitor.org).
– Evaluation of daily CO2 emissions against national inventories and other relevant datasets
– Improvement of methodologies used to derive daily CO2 emissions from activity data, including the use of satellite proxies and socio–economic indicators.
– Evaluation of atmospheric inversions results against regional and local estimates of greenhouse gas emissions for fossil fuel CO2 emissions and CH4 anthropogenic emissions
This work will be performed at LSCE, in collaboration with ECMWF, partners of the CAMEO project and the Carbon Monitor international team led by Tsinghua University in China.
What LSCE can offer you :
LSCE (https://www.lsce.ipsl.fr) is a world–class research laboratory established and a collaboration between CEA, CNRS and the University of Versailles Saint–Quentin –UVSQ. The LSCE hosts approximately 300 research– ers, engineers and administrative staff including many PhD and master’s students. This project will provide the employee with the opportunity to work directly on advanced methods with re– searchers from the LSCE
and other institutions.
How to apply :
Applicants should submit a complete application package by email to the contacts below. The application package should include (1) a curriculum vitae including e.g. important recent publications / projects, (2) statement of motivation (3)
answers to the selection criteria above (4) names, addresses, phone numbers, and email addresses of at least two references.
The position is available from Feb 1st 2023 and will remain open until filled. The expected start of the position is Spring 2023.
Competitive salary, full social and health benefits, commensurate with work
• Programming skills, preferably in Python / R
• Knowledge of remote sensing data processing and analysis
• PhD degree or Master degree in a field such as atmospheric modeling, data–science,
remote sensing, signal processing, machine learning or statistics.
• Autonomy, ability to work in a team and time management skills.
• Experienced in multidisciplinary team–based activities with the ability to effectively
communicate with colleagues and with staff from the partners of a project.