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.

Complex Cyber-Physical Systems (CPSs), like those used in autonomous mobility and space exploration, have an increasing need for High-Performance Computing (HPC) capabilities coupled with requirements regarding Real-Time (RT) behaviour. Parallel programming models tailored to harness the parallel capabilities of the most advanced processors efficiently are not equipped to accommodate the non-functional properties that are integral to CPSs, such as real-time behaviour (e.g., task deadlines and periods, predictability properties, and event-based execution models) and safety requirements (e.g., functional correctness, resilience, and reliability).

The Hi PART project aims to provide programming models, compiler analysis and optimization techniques, and runtime systems that integrate all features needed to define and implement the critical real-time and high-performance computing requirements of complex CPSs and leverage the massive computational capabilities of modern parallel and heterogeneous architectures.
Check Hi PART: https://www.linkedin.com/company/hipart

The scope of this work will bring the opportunity to develop a Ph D.