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
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 involved in several EU and industrial projects related to this topic. BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries.
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.
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. This postdoctoral position is intended to apply numerical simulations in the frame of Large Eddy Simulations (LES) to the aforementioned problems extending the capabilities of conventional physics-based approaches with Artificial Intelligence.
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. Requirements Education: The candidate should hold a PhD Degree in Aerospace, Aeronautics or Mechanical Engineering with background in turbulence and combustion. Essential Knowledge and Professional Experience:
Strong foundational knowledge in fluid mechanics. Expertise in Large Eddy Simulation (LES) techniques. Solid understanding of numerical methods for scientific computing. Knowledge of combustion chemistry and its application in modeling. 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, flexible working hours, extensive training plan, restaurant tickets, private health insurance. Duration: 4 years. Holidays: 23 paid vacation days plus 24th and 31st of December. Salary: 55,000.00€. Starting date: asap - the incorporation must be before the 16th of December 2024. Applications procedure and process All applications must be submitted via the BSC website and contain:
A full CV in English, including contact details. A cover/motivation letter with a statement of interest in English. The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history. Interview phase: The highest-rated candidates will be invited to the interview phase. Deadline
The vacancy will remain open until a suitable candidate has been hired.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
#J-18808-Ljbffr
