CDD
Researcher on near real time CO2 emissions and greenhouse gas budgets
Contexte
We are looking for a motivated young researcher to analyze new datasets providing the first near
real time estimates of global and regional greenhouse gas fluxes at global and regional scales based on in-situ and space observations. The research will use near real time emissions of fossil CO2 from Carbon Monitor https://carbonmonitor.org , fossil CH4 from the Global Methane Watch
https://www.kayrros.com/methane-watch/, atmospheric inversions, near real time dynamic
vegetation models results, air sea fluxes from data driven models, biomass change from satellites,
fire and land use change CO2 emissions.
The goal is to produce novel analysis of the impact of extreme climate events and ongoing
socioeconomic changes on the most recent greenhouse gas emissions and sinks with a low latency, typically with an update of a few months.
The second part of the research is on the improvement of near real time fossil CO2 emissions
estimates for EU countries based on the Carbon Monitor methodology, with new activity data being collected, based on satellite data and other proxies. This part of the research will be performed in collaboration with the COPERNICUS atmospheric core service (CAMS) and will involve regular interactions with teams at the European Center for Medium Range Weather Forecast (ECMWF).
The successful candidate will work closely with Philippe Ciais and Frederic Chevallier in Gif sur
Yvette, France, with other partners of the international near real time GHG initiative, A Bastos, S
Sitch, Z. Liu, S. Saatchi, N Gruber, J. Randerson, and with ECMWF teams for European CO2 emissions.
Description
Specific aims and working steps
– Analyze the results of near real time GHG datasets
– Attribute land emissions and sinks to different component and drivers
– Publications, presentations at international scientific conferences
Required skills
– Programming skills, preferably in Python or R
– Knowledge of statistics and data analysis
– Communication skills, clear diagrams and interest for science and climate policy
Contacts
Philippe Ciais and Frédéric Chevallier
Selection Criteria
– PhD in global modeling, data analysis, data science
– 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.
Location: Laboratoire des Sciences du Climat et de l’Environnement (https://www.lsce.ipsl.fr) located about 20km from the heart of Paris in the Orme des Merisiers green area. LSCE is a world-class research laboratory established and a collaboration between CEA, CNRS and the University of Versailles Saint-Quentin (UVSQ). It is part of the Institute Pierre Simon Laplace (IPSL). LSCE hosts approximately 300 researchers, 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 researchers from the LSCE and other institutions
Contract duration: Up to 24 months
Starting date: The position is available from June 2022 and will remain open until filled.
Salary: Competitive salary with full social and health benefits, commensurate with work experience.
How to apply: Applicants should submit a complete application package by email. The application package should include (1) a curriculum vitae including most important recent publications, (2) statement of motivation (3) answers to the selection criteria above (4) names, addresses, phone numbers, and email addresses of at least two references.
Compétences requises
- Programming skills, preferably in Python or R
- Knowledge of statistics and data analysis
- Communication skills, clear diagrams and interest for science and climate policy
