Researcher - Development of Digital Twins for The

**Job Reference**:

- 628_24_CASE_PTG_R2**Position**:

- Researcher - Development of Digital Twins for the Steel manufacturing industry (R2) - AI4S**Closing Date**:

- Monday, 30 September, 2024**Reference**: 628_24_CASE_PTG_R2**Job title**: Researcher - Development of Digital Twins for the Steel manufacturing industry (R2) - 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, 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 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 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 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 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.

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.**Key Duties**
- Developing reduced-order models for the furnace using ML-based algorithms methods.
- Interact with industrial partners to identify the relevant data for model development.
- Assist on the integration of the Digital Twins for the furnace operation in real time.

**Requirements**:

- Education
- Essential Knowledge and Professional Experience
- Knowledge of fluid mechanics and thermodynamics are expected.
- Solid background on data-driven methods and Artificial Intelligence
- General knowledge on computer science and programming languages such as Fortran, Python, C, and C++
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Basic knowledge of HPC
- Competences
- Ability to work in a team and in a multi-cultural environment.
- Strong analytical skills.
- Ability to work independently and within a team.

**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, private health