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May 2015
Message 53

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[Met-jobs] Postdoctoral Fellow DADA (Data Assimilation for Detection and Attribution)

From Alexis Hannart <alexis.hannart@cima.fcen.uba.ar>
To met-jobs@lists.reading.ac.uk
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 
(alexis.hannart@cima.fcen.uba.ar). For more information, please contact Dr. 
Hannart (alexis.hannart@cima.fcen.uba.ar), Dr. Juan Ruiz 
(jruiz@cima.fcen.uba.ar), Dr. Alberto Carrassi (alberto.carrassi@nersc.no) or 
Dr. Marc Bocquet (bocquet@cerea.enpc.fr).

%%%%%%%%

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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