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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement PhD thesis in Wildland Fire Behavior Modeling

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PhD thesis in Wildland Fire Behavior Modeling

Position
PhD thesis in Wildland Fire Behavior Modeling

Employer

CERFACS (Centre Européan de Recherche et Formation Avancée en Calcul Scientifique)

CERFACS is a research organization developing advanced methods for the numerical simulation of large scientific and technological problems of interest for research and industry, with close partnerships with Météo-France and ECMWF for instance. CERFACS has a strong background in Earth system modeling and computational fluid dynamics for environmental flows. CERFACS has also a strong background in uncertainty quantification and data assimilation methods for a wide range of environmental applications.

Homepage: https://cerfacs.fr


Location
Toulouse, France

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Biogeosciences (BG)
Natural Hazards (NH)

Type
Contract

Level
Student / Graduate / Internship

Salary
Open

Preferred education
Master

Application deadline
Open until the position is filled

Posted
25 May 2021

Job description

The present PhD offer aims at improving the biomass fuel representation in the coupled atmosphere/fire model, Meso-NH/Blaze, and at analyzing its sensitivity to an ensemble of plausible biomass fuel characteristics. This will involve improving coupling of land surface properties as represented in BLAZE and SURFEX (the land surface component of Meso-NH), and the development of scaling relationships to relate high-resolution fire simulation in Meso-NH/BLAZE to large-scale SURFEX model outputs and databases. The resulting ensemble will be used to design a strategy to improve current wildfire risk assessment tools based on the coupled system Meso-NH/Blaze.

More information on the PhD topic are available at the following link:
https://cerfacs.fr/en/offer/coupled-vegetation-fire-atmosphere-modeling-for-wildland-fire-risk-assessment/


How to apply

Candidates should have a good scientific and technical background, with skills in programming, and interests in fluid mechanics, atmospheric sciences and land surface modeling. No specific knowledge on wildland fires is needed, but the motivation to interact with different scientists across disciplines (CERFACS, CNRM and beyond) would be advantageous. Familiarity with Python and data science experience would be an asset. Written and spoken English is desirable.

The selected candidate will become a PhD student registered at Université de Toulouse for three years and employed by CERFACS. The proposed salary corresponds to the standard conditions at CERFACS.

If you are interested in this PhD offer, please visit the following webpage and send us your application!
https://cerfacs.fr/en/offer/coupled-vegetation-fire-atmosphere-modeling-for-wildland-fire-risk-assessment/