Job Reference: 629_24_CASE_PTG_R3
Position: Researcher on Development of advanced methods for hydrogen combustion using ML-based algorithms (R3) - AI4S
Closing Date: Monday, 30 September, 2024
Job Title: Researcher on Development of advanced methods for hydrogen combustion using ML-based algorithms (R3) - AI4S
About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is now the hosting entity for EuroHPC 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 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.
Context And Mission: The importance of hydrogen combustion in the decarbonization of the power and transport sectors has impelled its research in order to achieve ultra-low emission burners and avoid instabilities that may compromise the combustion chamber. The peculiarities of hydrogen, particularly its high diffusivity, may lead to preferential diffusion effects consisting of higher flame speeds, promotion of flame instabilities, and achievement of superadiabatic temperatures with the subsequent effect on emissions, flame stability, and thermos-acoustics.
The exponential increase in computational power experienced in the last years has opened the door to accurately simulate industrial devices in feasible amounts of time through Large Eddy Simulations (LES), which arise as a cost-effective option for design and analysis. Such increase in computational resources has also allowed gathering large amounts of data that can be post-processed to reveal hidden patterns through machine learning or the generation of digital twins that accurately reproduce the response of the real system. The research team in which the applicant will be involved is the Propulsion Technologies Group at the CASE Department of BSC.
The team is a multidisciplinary group with researchers from all disciplines and with a strong background in Computational Fluid Dynamics (CFD). The team is involved in several EU and industrial projects related to this topic, where the successful activities and publications in highly ranked scientific journals demonstrate the proven expertise.
Key Duties:
Develop tools for data-driven methods to improve the modeling of turbulent combustion in hydrogen flames. Implement machine learning techniques to contribute to the accurate modeling of hydrogen combustion in engine-relevant conditions. Collaborate with interdisciplinary teams to integrate computational models with experimental data for enhanced combustion simulations. Optimize combustion models for high-performance computing environments to ensure efficiency and scalability in simulations. Requirements:
Education:
Strong foundational knowledge in fluid mechanics. Expertise in Large Eddy Simulation (LES) techniques. Solid understanding of numerical methods for scientific computing. Familiarity with machine learning techniques applied to scientific research. Additional Knowledge and Professional Experience:
Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. Computational skills and parallel programming for HPC. Competences:
Ability to work in a team and in a multi-cultural environment. Ability to work independently and make decisions. Conditions:
The position will be located at BSC within the CASE Department. We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, and private health insurance. Duration: 4 years. Holidays: 23 paid vacation days plus 2. For more details, visit: Kit Empleo
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