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, 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 under one roof, and currently has over 1000 staff from 60 countries.
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.
Context And Mission
The stringent emission regulations and the EU commitment to achieve net-zero greenhouse gas (GHG) emissions by 2050 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. 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. The applicant 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 applicant will join the Propulsion Technologies Group (PTG) at the Barcelona Supercomputing Center. 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 techniques.
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
The candidate should hold a PhD Degree in Chemistry, Physics, Mechanical Engineering, or Aerospace with background in fluid mechanics and thermal systems. 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 insurance Duration: 4 years Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement Salary: 45.00,00€ Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc. Starting date: asap - the incorporation for this vacancy 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, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process 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, degree, training, and other professional information relevant to the position. Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
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). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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