Researcher - data analytics and digital twin development of industrial furnaces (R2) | Barcelona Supercomputing Center (BSC)

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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. We are particularly interested for this role in the strengths and...

Job Reference 312_23_CASE_PTG_R2 Position Researcher - data analytics and digital twin development of industrial furnaces (R2) Closing Date Saturday, 16 September, 2023 Reference: 312_23_CASE_PTG_R2 Job title: Researcher - data analytics and digital twin development of industrial furnaces (R2) About BSC The Barcelona Supeputing Center - Centro Nacional de Supeputación (BSC-CNS) is the leading supeputing center in Spain. It houses MareNostrum, one of the most powerful supeputers 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. BSCbines HPC service provision and R&D into bothputer andputational science (life, earth and engineering sciences) under one roof, and currently has over 800 staff from 55 countries. Look at the BSC experience: BSC-CNS YouTube Channel Let 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 av perpetuating biases and oversights in science and IT research. Context And Mission The 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. Nheless, 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 areentified 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 canate will develop a research activityprising the development of infrastructure for the generation of Digital Twins based on process data using Artificial Intelligence (AI) and physics-based reduced-order models. The metallurgical sector, with a high dependency on fossil fuels, could strongly benefit from cleanbustion 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. Nheless, reducing the emissions to the levels of the EU targets brings new challenges to the metallurgical sector, responsible for a large portion of the pollutant emissions produced in the industrial sector and with a high dependency on fossil fuel supply. The main topic of the project is the development of a digital model based on sensor data that can be used for system control and feature extraction from the system operation. Big data and data mining activities are to be performed to extract the relevant information from the furnace andentify the key parameters that control the efficiency of the process. 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 Supeputing Center. As part of the PTG, the applicant will join a mulisciplinary team with background in advancedputational models for high elity simulation of energy conversion systems. The PTG is actively involved in several European research-oriented for which results are disseminated in highly ranked scientific journals, and conferences, and industrial projects with focus on technology transfer to industry. Key Duties

• Developing an efficient ML-based platform for digital models using large scale datasets.
• Developing reduced-order models for the full furnace and subponents using data-driven methods.
• Interact with the different partners of the projects to carry our collaborative research.
• Contribute to scientific publications and reporting to different National and EU projects the researcher will be involved in.

Requirements

• Education
  • The canate should hold a Degree or PhD in Chemistry, Physics, Mechanical Engineering, or Data analytics .
• Essential Knowledge and Professional Experience
  • General knowledge on data-driven methods, python programing and Machine Learning are expected.
  • Background inputational science and Artificial Intelligence
  • So background on data-driven methods, fl mechanics and Materials Science will be positively evaluated.
• Additional Knowledge and Professional Experience
  • General knowledge onputer science and programming languages such as Fortran, C, and C++ will be very well conered. Computational skills and parallel programming for HPC are not necessary but will be conered an asset.
  • Basic knowledge of HPC will be appreciated.
• Competences
  • Strong analytical skills.
  • Ability to work independently and within a team.
  • Goodmunication and teamwork skills to work in a mulisciplinary team.
  • Fluency in English is essential, and Spanish is wee.

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 insurance, support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Hoays: 23 p vacation days plus 24th and 31st of December per our collective agreement
• Salary: we offer apetitive salarymensurate with the qualifications and experience of the canate and according to the cost of living in Barcelona
• Starting date: asap

Applications procedure and process All applications must be made through BSC website and contain:

• A full CV in English including contact details
• A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be conered In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process. The panel will make a final decision and all canates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile. At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedbackplaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es. For more information follow this link

Deadline The vacancy will remain open until suitable canate has been hired. Applications will be regularly reviewed and potential canates will be contacted. OTM-R principles for selection processes BSC-CNS ismitted 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). This is applied for any potential canate in all our processes, for example by creating gender-balanced recruitment planels and recognizing career breaks etc. BSC-CNS is an equal opportunity employermitted to diversity and inclusion. We are pleased to coner all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, genderentity, national origin, age, disability or any other basis protected by applicable state or local law. For more information follow this link

• Company Name : Barcelona Supercomputing Center (BSC)
• Open Position : Researcher - data analytics and digital twin development of industrial furnaces (R2) | Barcelona Supercomputing Center (BSC)
• Location Job : Barcelona, Barcelona provincia
• Country Job : ES

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the Researcher - data analytics and digital twin development of industrial furnaces (R2) | Barcelona Supercomputing Center (BSC) job info - Barcelona Supercomputing Center (BSC) Barcelona, Barcelona provincia above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies Researcher - data analytics and digital twin development of industrial furnaces (R2) | Barcelona Supercomputing Center (BSC) job info - Barcelona Supercomputing Center (BSC) Barcelona, Barcelona provincia in 17-09-2023 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via the Next Page link below.