.Job Reference630_24_CASE_PTG_R2PositionResearcher Digitalization of hydrogen-based energy systems for hydrogen production (R2) - AI4SClosing DateMonday, 30 September, 2024Reference: 630_24_CASE_PTG_R2Job title: Researcher Digitalization of hydrogen-based energy systems for hydrogen production (R2) - AI4SAbout BSCThe 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.Look at the BSC experience:BSC-CNS You Tube ChannelLet's stay connected with BSC Folks!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.Context And MissionThe current needs for decarbonization have placed hydrogen and hydrogen-enriched fuels as an efficient solution for the transition to a clean, low-carbon energy system. Nonetheless, reducing the emissions and the carbon dependency to the levels of the EU targets brings new challenges to the energy-intensive industrial processes like steel manufacturing or power generation. The development of power-to-X (P2X) technologies can be used to produce hydrogen from renewable electricity referred as "green hydrogen" and supply the fuel demands of such processes reducing the carbon-foot print and the fossil fuel dependency of the process. Hydrogen-based technologies are identified to be key for the energy transition and demands digital tools and advanced software to accelerate the deployment of these technologies to the market. Within this context, the candidate will develop a research activity comprising the development of infrastructure for the generation of Digital Twins based on process data using Artificial Intelligence (AI) and physics-based reduced-order models