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 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 Computer Sciences (CS) department of the Barcelona Supercomputing Center aims at carrying out research and development to influence the way computing machines are built, programmed and used. The Workflows and Distributed Computing (WDC) group at the Barcelona Supercomputing Center aims at carrying out research on programming models for distributed computing.
More specifically the group will be contributing to the CEEC CoE project
who's ambition is to enable the use of exascale computers for key computational fluid dynamics (CFD) applications and demonstrate their capabilities through key light-house cases. The WDC group contributes to the project with the PyCOMPSs programming model, as a tool to develop workflows that combine HPC codes (in this case, CFD applications) together with artificial intelligent and data analytics.
PyCOMPSs is a task-based, parallel programming model that supports the development of workflows that run in parallel in distributed computing platforms. The WDC contribution in the project will mainly focus on the integration of PyCOMPSs with the Light House Cases (LHC) to develop complex workflows involving CFD simulations. We also want to extende the current checkpointing mechanism implemented in PyCOMPSs to integrate the checkpoint of MPI tasks.
For this research, the group is looking for an engineer tha extends the current check-pointing mechanism available in PyCOMPSs to combine it with other MPI check-pointing mechanisms. The results will be also integrated in workflows from the project LHCs. The main required expertise includes a good level of programming in Python. Additional expertise that will be valued includes distributed computing, task-based environments in distributed systems, machine learning, and CFD. The job includes also active participation in the projects, attending project meetings, collaborating with partners and writing deliverables.
Key Duties
- Support to the development of PyCOMPSs that fit the LHC requirements.
- Extension of the current check-pointing mechanisms in the PyCOMPSs programming model
- Development of tests to check the extensions with the PyCOMPSs test infrastructure and contribution to PyCOMPSs documentation that illustrates how to use the newly developed features
- The candidate will work closely with other research members on the team of the Workflows and Distributed Computing group
Contribution of the candidate to the CEEC CoE project, including contribution to project deliverables
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Requirements
- Education
- Computer science degree (Master or graduated)
- Essential Knowledge and Professional Experience
- Good programming skills in Python
- Parallel programming
- Knowledge of task-based programming models
- Additional Knowledge and Professional Experience
- Previous experience in PyCOMPSS/COMPSs and its runtime or in similar task-based environments
- Knowledge in distributed computing
- Knowledge on check-pointing mechanisms
- Knowledge on fault tolerance mechanisms for distributed computing
- Competences
- Fluency in spoken and written English, while fluency in other European languages will be also valued
Conditions
- The position will be located at BSC within the Computer Sciences Department
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We offer a full-time contract (35h/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
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Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
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Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
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Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
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Starting date: 20-06-2026
Applications procedure and process
All applications must be submitted via the BSC website and contain:
- A full CV in English including contact details
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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
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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 recruitment [at] bsc [dot] es.
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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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