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 stringent emission regulations and the EU commitment to achieve net-zero greenhouse gas (GHG) emissions by 2050 (EU Commission, COM (2018) 773) is driving the power generation industry to prioritize the development of low-carbon technologies. To meet the European decarbonization objectives, the energy-intensive industrial sectors must be transformed in terms of digitalization and low-carbon technology deployment. The metallurgical sector, with a high dependency on fossil fuels, could strongly benefit from clean combustion technologies and the use of cleaner and more sustainable fuels. Hydrogen and hydrogen-enriched fuels have significant potential to enable the transition to a clean, low-carbon energy system. Nonetheless, reducing the emissions to the levels of the EU targets brings new challenges to the industrial sector and to the metallurgical sector, which is responsible for a large portion of the pollutant emissions produced in the industrial sector and has a high dependency on fossil fuel supply. A digital transformation can facilitate this transition by providing advanced simulation software that can be used to accelerate the deployment of new concepts to the market. Today, the industrial sector requires more efficient burners, which implies not only a reduction in fuel consumption, but also in pollutant emissions, particularly CO2 and NOx.

Within this context, the candidate will develop a research activity which will comprise the development of a High-Performance Computing (HPC) for the generation of Digital Twins based on high-fidelity numerical simulations and furnace sensor instrumentation using Artificial Intelligence (AI). The numerical simulations will be conducted with the multiphysics code Alya from BSC to generate datasets for data analysis for furnace operation with hydrogen and ammonia/hydrogen blends. The applicant will use these datasets and the real time data acquisition from the sensors available in the furnaces to build a Digital Twin using innovative ML-based algorithms. Several furnaces with full instrumentation for data analysis will be used to develop and test the models for planning and real time operation.

The applicant will join the Propulsion Technologies Group (PTG), a research group from the Computer Applications in Science and Engineering (CASE) Department at the Barcelona Supercomputing Center. As part of the PTG, the applicant will form part of a multidisciplinary team of researchers with a strong background on Computational Fluid Dynamics (CFD), combustion and digital twins. The applicant is expected to work on the development of reduced-order models based on data-analytics and machine learning using Computational Fluid Dynamics with High-Performance Computing (HPC) techniques.

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