Scientist – GAIA-CLIM

The European Centre for Medium-Range Weather Forecasts (ECMWF), Berkshire, United Kingdom

Skill Required:, Research and Analysis
Preferred Experience: 
3 to 10 Years
Closing Date for Applications: 
11th March, 2015


Job Description

Summary of the role

 The Scientist will work on evaluating a range of observational datasets using numerical weather prediction (NWP) and reanalysis systems, and support development of a virtual observatory. This position is in the Satellite Data Section of the Research Department and will be part of the GAIA-CLIM project.

Main duties and key responsibilities

 The successful candidate will join the Satellite Data section at ECMWF to work on GAIA-CLIM, an EU-funded research project aimed at improving Earth Observation (EO) capabilities, in particular establishing sound methods for characterising the uncertainties of satellite-based EO datasets by exploiting reference-quality in-situ data.

The main aspects of the role are:

 To contribute to the characterisation methods by analysing assimilation-based observation feedback from our NWP/reanalysis systems
 To facilitate uptake of observation feedback by others
 To promote good practices in observational dataset generation to benefit NWP, reanalysis, and the EU’s Copernicus programme
 The work will involve substantial collaboration with institutions in Europe and elsewhere, including intercomparison with analogous feedback from UK Met Office systems.

Key responsibilities:

 To analyse assimilation-based diagnostics of observational quality
 To acquire external datasets and generate observation feedback
 To support other scientists in the use and interpretation of observation feedback

Education

 A university degree (preferably at PhD level) in meteorology, computer science or a related subject, together with extensive experience in scientific computing on large high-performance computers.

Experience

 Experience in characterising uncertainties of earth-observation datasets.
 Experience in development of weather forecasting or data assimilation systems would be advantageous.
 Good knowledge of scientific programming and highlevel programming languages including Fortran and shell scripts (possibly C/C++ or Python). Strong background in UNIX systems (and/or Linux).

Language

 Candidates must be able to work effectively in English and interviews will be conducted in English.
 A good knowledge of one of the Centre’s other working languages (French or German) would be an advantage

How to apply

 Please apply by completing the online application form available at www.ecmwf.int/en/about/jobs.
 ECMWF has an Equal Opportunities Policy and applications from all suitably qualified candidates are welcome.
 Staff are usually recruited from among nationals of the Member States and Co-operating States.
 Staff from non-ECMWF States may be considered in exceptional cases where there is a strong need for a particular competency.
 Interviews for this position are expected to take place on 22 and 23 April 2015.

 


Recommend your friend

Copyrights 2017. All rights reserved | Technology Partner: Indev Consultancy Pvt. Ltd