July 2013
Message 84

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[Met-jobs] Barcelona - Post Doctoral position on seasonal-to-interannual climate prediction at the Climate Forecasting Unit

From Human Resources <>
Date Mon, 22 Jul 2013 10:56:45 +0200

Post Doctoral position on seasonal-to-interannual climate prediction at the Climate Forecasting Unit (CFU).

IC3 Headquarters in Barcelona, Catalonia, Spain   

General description and work environment
The Institut Català de Ciències del Clima (IC3) is a climate institution created by the Government of Catalunya and the University of Barcelona, aiming at understanding climate change and variability, the dynamics and theory underlying those changes and the impact on society. IC3 focus on the Mediterranean regions, tropical Africa, South America and Southeast Asia.
The Climate Forecasting Unit (CFU) undertakes research to forecast global climate variations from one month to several years into the future (also known as seasonal-to-decadal prediction). The unit members also investigate the impact of climate variability in socio-economic sectors, and the management of such risk via the development of climate services for renewable energy, insurance, etc.
For details, see and

Main duties
The successful applicant will investigate the predictability and actual forecast quality of seasonal-to-interannual ensemble predictions carried out with the dynamical global climate model EC-Earth in the framework of several European projects. The applicant will be involved in developments to carry out initialised seasonal-to-interannual ensemble simulations to contribute to the maintenance of the international leadership of the Unit in the field. These developments include testing the impact of the highest possible horizontal and vertical resolution, the use of stochastic parametrisations and the improvement of the initialisation of the ocean, land and atmospheric components. Systematic comparisons with a large range of operational hindcasts and research experiments will be undertaken. Process-based analysis of the forecast quality will be a main focus of the job; such analysis should be the main tool to understand the origin of the model drift and identify the predictability sources that are under-represented in current forecast systems. The incumbent will be involved with the Unit's climate services initiatives, will help developing the tasks of the externally-funded projects and could contribute to the mentoring of master and PhD students. Outstanding opportunities exist for collaboration with other European and international research institutions.

Desired skills / qualifications
Applicants must have a Ph.D. in Atmospheric Sciences, Physical Oceanography or a related discipline. Ideal candidates will have several of the following attributes:
- Knowledge of climate dynamics and experience in climate modeling and prediction.
- Good programming skills in Fortran and Bash, while knowledge of python scripting and the R language will be highly valued.
- Fluency in spoken and written English, fluency in other European languages will be also valued.
- A good publication record.

This position implies becoming part of dynamic, multi-national research group that performs cutting-edge, highly-demanding climate prediction experiments. The candidate should be able to work as an active and collaborative team member to help in the delivery of shared objectives ant to efficiently communicate with a range of colleagues of varying levels of technical and scientific competence. Hence, the ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools is an essential aspect required.

Conditions and application procedures
The position is opened for 24 months with a possibility for extension and starts preferably in October 2013 or as soon as possible after that date.The salary will be competitive and commensurate with experience.
To apply, please send your CV accompanied with a brief statement (max. 1 page) of interest and experience with the following subject “Application for Postdoc position on seasonal-to-interannual climate prediction – CFU” by e-mail to




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