Title: Research for cloud retrieval using geostationary sounders data MTG
Subject: 12-month Postdoctoral fellowship in cloud remote sensing (W /M), will be surely renewable 2 times
Starting date: 1st March 2021(not later than May 1st 2021)
Context: The CEMS is part of national center for scientific research (CNRS) and Météo- France/CNRM. The cloud team of CEMS is involved in the project SAFNWC of EUMETSAT (satellite application facility for now casting) to develop parts of the GEO software that states the atmospheric properties using data from geostationary satellites such MSG, GOES, Himawari and the future mission MTG. The cloud team of CEMS performs research and develops algorithms to retrieve cloud properties from passive remote sensors on-board geostationary satellites. These algorithms allow to retrieve cloud mask, cloud classification, cloud top pressure temperature and height, and some microphysical parameters such phase at cloud’s top, liquid water path, ice water path, mean effective radius and optical thickness. Clouds products are used operationally by other methods developed inside the SAFNWC project by others partners of EUMETSAT and by
meteorological services around the world for short term weather prediction and research.
The next phase of research and development (Five years starting February 2022) will see the launches of two third generation of European geostationary satellites for meteorology where one will carry the imager FCI and the other one with the sounder IRS.
Workplace: The candidate will be assigned to the “cloud team” of CEMS/CNRM of Météo-France at Lannion (22 Côtes d’Armor, France).
Duration: 12 month renewable (2 times) starting no sooner than February 1st 2022.
Main duties and key responsibilities:
The researcher will have to study the feasibility to retrieve cloud products using IRS profiles and combining IRS and FCI observation for operational use.
He or she will have a budget of 5000€ to travel and to attend to international conferences or workshops.
Qualifications and experience required: The candidate must hold a PhD in Atmospheric Sciences or Physic, or Mathematics. Experiences in numerical weather prediction, remote sensing and in Python for science, FORTRAN and LINUX are highly desirable. Experience in using big data will be appreciated.
Personal attributes: The candidate will have to demonstrate scientific curiosity, autonomy, team spirit, analytical skills and objectivity. The candidate will have to report regularly his/her activities and write his/her scientific results in peered review publications.
Salary: The gross salary is between 3280 € and 3890 € per month based on experience, with partial health insurance included (complementary health insurance is about 50-100€/month)
How to apply: Interested candidates will send the following documents by e-mail to Emmanuel Fontaine (emmanuel.fontaine@meteo.fr) and Jerome Vidot(jerome.vidot@meteo.fr) :
Curriculum Vitae with a list of all publications (conferences, posters, publications)
A short page of research interest
related to this topic (why you postulate on this topic!)
Three contacts for recommendation letters
