The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for Euro HPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We are particularly interested for this role 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.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

The Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES) led by Prof Francisco Doblas-Reyes develops, among other research tools, global climate models to perform a range of climate experiments at storm and eddy-resolving spatial resolutions. These tools have opened a very exciting path to revisit properties of the climate system such as climate predictability at subseasonal to decadal time scales.

This Ph D vacancy aims at exploring the relative merits of the new category of global climate models of very high resolution (10 kms or higher) to predict regional aspects of climate, including the impact of the initialisation, the necessary adaptations to the experimental set up to cope with limited computational resources, and the processes that could act as new sources of forecast quality.