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 role of the postdoc in Artificial Intelligence applied to Climate Services takes place in a rapidly evolving field where the integration of AI and machine learning is transforming how climate data is processed, analyzed, and applied. This position is situated within a research group focused on developing cutting-edge methods for climate model calibration, validation, and predictive skill enhancement. The postdoc will contribute to the ongoing efforts to improve climate services by utilizing explainable AI techniques and integrating them into the BSC (Barcelona Supercomputing Center) ecosystem, which supports environmental and climate research.

The primary mission of the postdoc is to apply explainable machine learning techniques to improve the calibration and validation of climate models. By identifying windows of opportunity for increasing predictive skill, the postdoc will help optimize the accuracy of climate forecasts and provide actionable insights for stakeholders. A key aspect of the role involves supporting the development of new software solutions within the BSC ecosystem, enhancing model validation, and streamlining climate prediction methods. The postdoc will also contribute to advancing research in the field by documenting and publishing their work, fostering collaboration with multidisciplinary teams, and pushing the boundaries of climate services with the integration of AI.

The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s