Decadal Climate Forecaster
hace 3 semanas
Job Reference 845_24_ES_CVC_R2 Position Decadal Climate Forecaster (R2) Closing Date Tuesday, 03 December, 2024 About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
It houses MareNostrum, one of the most powerful supercomputers in Europe, and is committed to facilitating scientific progress through research and development in information technologies.
We are particularly interested in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.
In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
Context And Mission This position is hosted by the Climate Variability and Change (CVC) Group within BSC's Earth Science Department.
The CVC Group undertakes fundamental research to understand climate variability and change, global biogeochemical dynamics, and improving our ability to forecast climate variations and biogeochemical dynamics from one month to multiple decades into the future.
The applicant will play a central role in the climate prediction team, coordinating contributions to the European project IMPETUS4CHANGE and contributing to other climate prediction activities.
Key Duties Contribute to the production of initial conditions for the seasonal/decadal predictions with EC-Earth Lead the production of the operational decadal predictions Contribute to the development of the next operational decadal prediction system based on EC-Earth4 Develop a new blending methodology to combine decadal predictions and projections Supervise the work of junior members of the group Contribute to the writing of project deliverables Requirements Education PhD in atmospheric science, applied mathematics, engineering, fluid dynamics or in a related discipline Essential Knowledge and Professional Experience Proven ability to prepare and submit manuscripts to peer-review journals A demonstrated ability to develop experimental setups that address specific climate modeling problems Experience in ocean/atmosphere modeling and handling climate model output Programming skills: scripting (e.g.
bash, python), data analysis and visualization software (e.g.
CDO, NCO, R, Python, NCL) Additional Knowledge and Professional Experience Interest and capacity in participating in the writing and leading the preparation of research and computing proposals Interest in tutoring and/or advising master and PhD students Competences Highly collaborative spirit and ability to work as part of a large, coordinated team Conditions The position will be located at BSC within the Earth Sciences Department We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures Duration: Open-ended contract linked to the project and budget duration Holidays: 23 paid vacation days plus 24th and 31st of December Salary: competitive salary commensurate with qualifications and experience Starting date: 01/01/2025 Applications procedure and process All applications must be made through the BSC website and contain: A full CV in English including contact details A Cover Letter with a statement of interest in English, including two contacts for further references In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy.
The panel will make a final decision and all candidates will receive feedback.
Deadline The vacancy will remain open until a suitable candidate has been hired.
Applications will be regularly reviewed.
OTM-R principles for selection processes BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
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Plaça de Decadal Climate Forecaster
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