This website uses cookies, which are small text files that are used to make websites work more effectively. In order to continue using this website, you will need to accept the use of cookies.


The proposed work will contribute to the EU-funded project APPLICATE ("Advanced Prediction in Polar regions and beyond: modelling, observing system design and LInkages associated with a Changing Arctic climaTE").

APPLICATE is a 4-year project, funded by the European Commission under the Horizon 2020 program, and coordinated by the Alfred Wegener Institute, Bremerhaven (16 partners), that aims at advancing our ability to model and predict the Arctic weather and climate, and the impacts of Arctic climate change on weather and climate in lower latitudes. In APPLICATE, CNRS-CNRM is co-leading WP2 « Enhanced weather and climate models », and contributes to WP5 « Enhanced predictive capacity ».

The successful candidate will contribute to the better understanding of the interactions between the marine surface (open water/sea ice) and the atmosphere in the Arctic. More specifically, he/she will quantify the role of small-scale surface features on the surface boundary layer, especially due to the presence of sea ice. He/she will derive novel numerical methods and physical parameterizations to account for the related subgrid-scale variability in atmospheric models used for numerical weather prediction (NWP) and climate applications in CNRS-CNRM. The successful candidate will run a hierarchy of model configurations, including a single-column version of AROME, a dedicated high-resolution 3D configuration of the AROME model run over an Arctic sub-domain, and global atmosphere-only configurations (ARPEGE, ARPEGE-Climat). The successful candidate will benefit from new data collected during the Year Of Polar Prediction (YOPP, 2017-2019). His/her results will finally contribute to improve the representation of iceatmosphere interactions in the fully coupled atmosphere-ocean climate model CNRMCM6.

This PhD thesis will benefit from a highly collaborative framework. The successful candidate will work closely with researchers and engineers with both the NWP and Climate research groups at CNRS-CNRM. His/her results will benefit to both sides through developments done in the SURFEX platform. Collaborations will be possible with external institutes : Stockholm University, Met Norway (both partners in the APPLICATE project) and possibly Environment and Climate Change Canada. The successful candidate will also be encouraged to participate to national and international meetings.

Required qualifications

  • Completed MSc or equivalent in atmospheric physics, meteorology, climatology, applied mathematics or related fields;
  • Experience using complex numerical models and good computational programming, post-processing and data management skills;
  • Demonstrated verbal and written communication skills (in French and/or English) necessary to work in a multidisciplinary team environment, author technical and scientific reports and publications, and deliver scientific presentations.

Applicants should send (i) a brief statement of research interests, (ii) a complete CV and (iii) names and contact details of two academic referees via e-mail to Dr Pascal Marquet (This email address is being protected from spambots. You need JavaScript enabled to view it.), Dr Matthieu Chevallier (This email address is being protected from spambots. You need JavaScript enabled to view it.) and Mr Eric Bazile (This email address is being protected from spambots. You need JavaScript enabled to view it.). The call is open until 9 June 2017.

Hosting institution

CNRS-CNRM (located in Toulouse, south-west of France) is a joint research unit between CNRS and Météo France. It is the research department of Météo France. About 225 permanent employees work at CNRS-CNRM, including 86 researchers. It is responsible for conducting research activities in weather forecasting, climate modelling, atmospheric chemistry, land-surface processes including snow related processes and oceanography.