[M/F] Post-doctorate study impact water isotopes in Antarctica

CNRS; France; Sur place; EUR 40 000 - 50 000; Plein temps

Résumé du poste

A leading research institution in France is seeking a postdoctoral researcher to compare atmospheric water-isotope measurements with simulation outputs in Antarctica. The role involves generating model results, analyzing data, and writing scientific publications. Candidates should have a PhD in a relevant field and experience with numerical simulations and isotopic measurements. This full-time position offers an opportunity to work within a dedicated team on a significant climate research project.

Qualifications

• Completion of a PhD before the start date is required.
• Strong experience in relevant research fields.
• Must possess excellent communication skills in English.

Responsabilités

• Compare atmospheric water-isotope measurements with simulation outputs.
• Generate model results accounting for post-depositional effects.
• Write scientific publications based on research findings.

Connaissances

LMDZ6iso numerical simulations

Interpreting isotopic composition measurements

Problem-solving

Numerical data analysis (Matlab or Python)

Formation

PhD in paleoclimatology, glaciology, infrared spectrometry, physics, or Earth sciences

Description du poste

Organisation/Company CNRS Department Laboratoire des Sciences du Climat et de l'Environnement Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The recruited postdoctoral researcher will compare atmospheric water-isotope measurements with simulation outputs in Antarctica. He/she will generate model results that account for post-depositional effects and will compare them with existing theories on metamorphism, snow redistribution by wind, and the interpretation of the isotopic signal.

• Produce water-isotope simulations that include post-depositional effects related to wind-blown snow in Antarctica.
• Analyze the results in order to understand post-depositional processes in Adélie Land.
• Interpret the results and write the scientific publications.

The LSCE is a joint research unit (UMR 8212) between the French Alternative Energies and Atomic Energy Commission (CEA), the National Centre for Scientific Research (CNRS), and the University of Versailles Saint-Quentin (UVSQ), located at l'Orme des Merisiers. It is part of the Pierre Simon Laplace Institute (IPSL), a research federation of nine climate and environmental institutes in the Paris region. The LSCE brings together around 320 researchers, engineers, and administrative staff, including 150 permanent staff from the three supervising institutions and several dozen PhD students.

The selected candidate will work within the GLACIO team (Ice, Climate and Stable Isotopes). The GLACIO team studies climate and the hydrological cycle through the analysis of stable isotopes of water and atmospheric gases (nitrogen, oxygen, argon). The aim is to better understand past (Quaternary) and present climate variability, from tropical to polar regions, in order to characterize the coupling between climate and the atmospheric water cycle. The team comprises around twenty members.

The position is part of the European project (ERC SAMIR) and will involve close collaboration with Mathieu Casado (CNRS Researcher), Cécile Agosta (CEA Senior Researcher), and the rest of the team.

Knowledge

• PhD (or completion before the start date) in a relevant field such as paleoclimatology, glaciology, infrared spectrometry, physics, or Earth sciences.

Skills

• Experience with LMDZ6iso numerical simulations
• Strong experience in interpreting isotopic composition measurements of vapor and snow
• Proven ability to solve complex problems independently
• Experience in numerical data analysis (e.g., in Matlab or Python)

Personal qualities

• Excellent written and oral communication skills in English
• Motivation to work effectively within a team
• Rigor / reliability