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Postdoctoral Research Assistant in Network Design for Ocean Carbon Cycle Monitoring    

Institut Pierre Simon Laplace Laboratoire des Sciences du Climat et de l’Environnement (IPSL/LSCE), Gif-sur-Yvette, France Applicants are invited to submit a brief statement of research interests, CV and details of two referees to M. Gehlen (marion.gehlen@lsce.ipsl.fr).

Applications are invited for a Postdoctoral Research Assistant in Network Design for Ocean Carbon Cycle Monitoring. The position is linked to the research and innovation project ATLANTOS “Optimising and enhancing the Integrated Atlantic Ocean Observing Systems” (https://www.atlantos-h2020.eu/) funded by the EU Horizon 2020 scheme. The main focus of the position lies on the identification of an optimal observational network for enabling ocean carbon system estimates. The postholder will be expected to develop a novel approach for deriving carbon system estimates combining output from high- resolution operational models, remote sensing observations, in situ measurements and statistical models. This approach will be applied to the reconstruction of pCO2 fields over the past decades, as well as to the operational release of carbon system estimates. Applicants should hold a doctorate in physical oceanography, marine biogeochemistry or applied mathematics (or equivalent) and have a background in statistical modeling. Candidates are expected to demonstrate computing skills and to be familiar with LINUX based environments.

The candidate will be expected to present results at national and international meetings. The position is for a period of 18 to 24 months pending on salary and experience. The position is based at Laboratoire des Sciences du Climat et de l'Environnement (LSCE, http://www.lsce.ipsl.fr/). LSCE is part of the Institut Pierre Simon Laplace (IPSL, http://www.ipsl.fr/en/). Their research mission is to contribute to a better understanding of the interactions between human activities in the Earth system as well as the environment and climate dynamics at different time scales. The research will be carried out in close collaboration with U. Schuster (University of Exeter, UK) and will involve repeated short visits at UoE.

Applicants are invited to submit a brief statement of research interests, CV and details of two referees to M. Gehlen (marion.gehlen@lsce.ipsl.fr).

 
A. Mazaud, dépêche du 18/02/2016
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