|From||Alexis Hannart <email@example.com>|
|Date||Mon, 18 May 2015 15:00:07 -0300|
In the context of the DADA project (2014-2017), we seek to hire a postdoctoral fellow with an expertise in data assimilation and/or statistics, in order to participate in the development of an innovative method/system for causal attribution of extreme weather events. This opportunity is within a small international project team located in Argentina (Buenos Aires), France (Paris) and Norway (Bergen). The position is based in Buenos Aires for two years, with the possibility of stays in Paris and/or Bergen during this period. It offers an excellent environment for working with a highly skilled interdisciplinary team which includes experts in data assimilation, climate change detection and attribution, Bayesian and spatial statistics, Extreme value theory, climate modeling and dynamical systems. Detection and Attribution (D&A) investigates the causal links between climate forcings and observed responses – ranging from global climatological trends to local weather events. A significant challenge of D&A at present consists in generating in a timely manner causal information about episodes of extreme weather, in order to meet several societal needs. The DADA project (Detection and Attribution based on Data Assimilation) addresses this challenge and is funded by ANR (French National Research Agency). By piggybacking on data assimilation, we envision a near real-time system for causal attribution of weather events potentially operable at meteorological centers (http://arxiv.org/abs/1503.05236). The objective of the DADA project is to establish a proof-of-concept, and to design a prototype, for this system. Your duties will include : - Contribute to the theoretical design of an extension of ensemble data assimilation algorithms able to compute likelihood as a by-product of the analysis step, at an affordable computational cost. - Implement and test this extension within a simplified GCM (SPEEDY). - Design, run and analyze experiments in order to test and evaluate the performance of the DADA procedure using the SPEEDY environment, for several predefined types of extreme weather events. - Contribute to the development of innovative concepts and ideas for further research. - Produce and deliver oral and written presentations of results. Essential qualifications: - PhD in atmospheric sciences or related field. - Experience with data assimilation. - Solid knowledge of a programing language (e.g. C, C++, Fortran, Python, Matlab), knowledge of Fortran will be a plus. - Ability to work collaboratively in interdisciplinary teams. - Interest in contributing to an active intellectual environment. - Good English communication skills. Additional desired qualifications: - Experience with statistical methods and applications in climate/atmospheric/environmental science, in particular with detection and attribution methods. - Experience in climate science, climate modeling, and dynamical systems. - Experience with large datasets and high performance computing. Expected start date is 1 September 2015 or as negotiated. Review of applications will begin on 1 June 2015. Interested applicants should submit a complete CV and contact information for three references to Dr. Alexis Hannart (firstname.lastname@example.org). For more information, please contact Dr. Hannart (email@example.com), Dr. Juan Ruiz (firstname.lastname@example.org), Dr. Alberto Carrassi (email@example.com) or Dr. Marc Bocquet (firstname.lastname@example.org). %%%%%%%% Dr. Alexis Hannart French-Argentinean Institute for Climate Studies CNRS / CONICET / University of Buenos Aires Ciudad Universtaria, Pabellon II, Piso 2 1428 Buenos Aires Argentina
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