Job Reference 464_26_CASE_PTG_R3 Position Researcher
- Development of computational methods for high-speed reacting flows (R3) Closing Date Saturday, 31 October, 2026 Reference: 464_26_CASE_PTG_R3 Job title: Researcher
- Development of computational methods for high-speed reacting flows (R3) 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. 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 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. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team. Context And Mission The design of next-generation aerospace propulsion systems relies on understanding complex compressible flows, including shock waves, boundary layers, mixing process, and recirculation regions. These phenomena govern the performance of systems such as scramjets and gas turbines, yet their characterisation remains challenging due to the computational cost of detailed simulations and limited availability of experimental measurements. Recovering complete flow fields from sparse observations offers opportunities to improve the understanding and prediction of these systems. Advances in scientific machine learning, numerical simulations and high-performance computing enable new approaches that combine physical models with data. Physics-informed neural networks incorporate governing equations into the learning process, while graph neural networks provide architectures for representing spatial relationships on irregular meshes. Together, these approaches support the development of reconstruction methods that combine computational fluid dynamics with heterogeneous observations. The Primary Objective Of The Position Is To Develop And Validate The Physics-informed Machine Learning Framework For Compressible Flow Reconstruction, With Applications To Aerospace Propulsion. The Work Will Involve
• Developing learning methods based on multilayer perceptrons and graph neural networks.
• Incorporating governing equations into model training.
• Reconstructing flow fields from sparse velocity measurements and wall pressure taps.
• Implementing efficient sampling, optimisation, and GPU-accelerated training workflows.
• Validating reconstructed fields agains numerical and experimental data, including assessment of sensitivity to noise and limited observations. This position offers the opportunity to contribute to cutting-edge developments at the intersection of machine learning, computational fluid dynamics, and high-performance computing, supporting the integration and simulation and measurement data for future propulsion technologies. The successful candidate will join the Propulsion Technologies Group within the CASE Department of BSC.



The team is a multidisciplinary group with researchers from all disciplines and with strong background in Computational Fluid Dynamics (CFD). The team is involved in many EU and industrial projects related to this topic, where the successful activities and the publications on highly ranked scientific journals give the proved expertise. Key Duties
• Collaborate 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.
• The main duties include developing scientific machine learning methods for forward and inverse flow reconstruction, integrating governing equations and heterogeneous observations into modular software, and implementing and validating GPU-accelerated training workflows for aerospace propulsion applications. Requirements
• Education
• PhD in Chemistry, Physics, Mechanical Engineering, or Aerospace with background in fluid mechanics and thermal systems.
• MsC or 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.
• A solid background in data-driven methods and Artificial Intelligence will be positively evaluated.
• Additional Knowledge and Professional Experience
• General knowledge on computer science and programming languages such as Fortran, Python, C, and C++ will be considered an asset.
• Basic knowledge of HPC will be appreciated.
• Fluency in English is essential, Spanish is a plus.
• Competences
• Strong analytical skills.
• Ability to work independently and within a team.
• Good communication and team-work skills to work in a multidisciplinary team. Conditions
• The position will be located at BSC within the CASE Department
•

We offer
a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, versátil

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
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
•

Salary:

we offer
a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: 01/11/2026 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 ("Concurso-Oposición"). 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.
- 40 points
• 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. In this phase,



technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated.
- 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position. The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process. The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact [email protected]. For more information, please follow this link. 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. For more information follow this link Application Form You are applying for the following job offer Name and Surname
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📌 Researcher - Development of computational methods for high-speed reacting flows (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona