Data Assimilation Scientist
vor 2 Wochen
We are seeking a highly skilled Data Assimilation Scientist to join our team at ECMWF. As a key member of our Data Assimilation Methodologies team, you will be responsible for developing and maintaining the variational and ensemble-based ECMWF data assimilation systems.
The successful candidate will have a strong background in data assimilation methodologies and techniques, as well as experience in scientific software development on High Performance Computing systems. You will work closely with our team to explore and implement new scientific ideas and technologies to advance DA science and its application to ECMWF Earth Data Assimilation system.
Main Responsibilities
- Develop and implement scientific and technical innovations in the ECMWF 4D-Var-based assimilation system and its ensemble DA component
- Further develop and improve methodologies for uncertainty estimation and modelling in the assimilation cycle, including Machine Learning solutions
- Contribute to the maintenance and support of the operational DA and ensemble DA systems
Requirements
- University degree (EQF Level 8 or above) or equivalent industry experience
- Experience of development of data assimilation systems for Numerical Weather Prediction or other environmental applications
- Experience of scientific software development on High Performance Computing systems
What We Offer
- Competitive salary and benefits package
- Opportunity to work on cutting-edge research and development projects
- Collaborative and dynamic work environment
How to Apply
Applicants are invited to complete the online application form by clicking on the "Apply" button below. We welcome applications from nationals of ECMWF Member and Co-operating States, as well as from Ukrainian nationals in exceptional cases.
ECMWF is an equal opportunities employer and welcomes applications from all qualified candidates.
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