Research Scientist - Radiative transfer modelling and analysis of historical satellite observations

Le poste de Research Scientist - Radiative transfer modelling and analysis of historical satellite observations from the 1960s F/H

Under the supervision of the project lead and in close collaboration with the other team members, the successful candidate will be responsible for:

• Assessing the impact of historical atmospheric CO₂ concentrations on radiative transfer simulations and their agreement with available observations.

• Investigating the extension of atmospheric profiles to higher altitudes in order to accurately represent the sensitivity of selected instruments to the upper stratosphere and mesosphere.

• Characterizing historical instruments and refining their representation in radiative transfer models, with a particular focus on gas correlation spectroscopy instruments.

• Developing and implementing new simulation capabilities within the RTTOV radiative transfer model.

• Evaluating RTTOV simulations for selected meteorological and atmospheric case studies.

• Reporting progress and results to the project consortium and contributing to project deliverables.

• Disseminating scientific results through presentations at consortium meetings and publication in peer-reviewed journals

  Le profil recherché

  Applicants should hold a PhD in atmospheric sciences, physics, meteorology, remote sensing, or a related discipline. Experience in one or more of the following areas would be an asset: radiative transfer modelling, satellite observations, atmospheric remote sensing, or meteorological applications.

  Candidates should have strong programming skills in scientific computing environments (e.g. Fortran, Python, Shell scripting) and experience handling and processing scientific datasets in a variety of formats, including NetCDF, and HDF.

  Excellent written and oral communication skills in English are required. Knowledge of French would be considered an advantage.

  L'entreprise

  Créée en 1945, Météo‑France est l’établissement public national en charge des prévisions météorologiques et de la recherche climatologique. Elle gère un modèle de prévision mondial (Arpège) et régional (Aladin). Météo-France fournit des services publics de vigilance (canicule, tempête…), collabore avec les collectivités et diffuse des données aux professionnels via des abonnements.

  Applicants should hold a PhD in atmospheric sciences, physics, meteorology, remote sensing, or a related discipline. Experience in one or more of the following areas would be an asset: radiative transfer modelling, satellite observations, atmospheric remote sensing, or meteorological applications.

  Candidates should have strong programming skills in scientific computing environments (e.g. Fortran, Python, Shell scripting) and experience handling and processing scientific datasets in a variety of formats, including NetCDF, and HDF.

  Excellent written and oral communication skills in English are required. Knowledge of French would be considered an advantage.