Job title

Research Engineer - Language Models for Science (RE3)

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.

Context And Mission

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.

The BSC AI Institute is the artificial intelligence institute of the Barcelona Supercomputing Center (BSC), created to unify and accelerate AI research across the center's scientific disciplines. It combines BSC's expertise in high-performance computing (HPC) with cutting-edge AI to address major scientific and societal challenges.

This position is part of our research line on Artificial Intelligence and Language Models for Science. The successful candidate will contribute to the European project EVELYN, which focuses on the development of Multimodal Foundation Models for environmental pollution sciences. The project aims to leverage large-scale heterogeneous data from multiple modalities to advance scientific understanding, prediction, and decision-making in environmental pollution. The candidate will work within a highly advanced HPC environment, gain access to state-of-the-art systems and computational infrastructure, and collaborate with experts across multiple disciplines at both local and international levels.

Participation in EVELYN with tasks including but not limited to research, documentation and deliverables
Design, develop and train multimodal LLMs
Process multimodal data
Preparation and presentation of scientific articles
Supervision junior research engineers
Participation in internal group meetings and other scientific discussions
Preparation and writing of new scientific projects

Requirements

Education
- A PhD or master degree in Computer Science, Computational linguistics, Physics, Mathematics or related
Essential Knowledge and Professional Experience
- Demonstrated experience of at least 4 years in machine learning
- Demonstrated experience of at least 4 years in deep learning frameworks
- Demonstrated experience of at least 2 year in LLMs
- Technical skills: Linux, Python, Deep learning libraries, git, HF
Additional Knowledge and Professional Experience
- Demonstrated experience in developing open-source software and resources
- Demonstrated experience in working in dynamic ML teams
Competences
- Ability to work independently and in a team to complete tasks on schedule
- Ability to work under set deadlines
- Ability to access and evaluate scientific literature
- Good communication skills in English, both oral and written
- Good level of spoken and written Catalan and/or Spanish is not required but it is a plus

Conditions

The position will be located at BSC within the Directors Department
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
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: 01/10/2026

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 recruitment [at] bsc [dot] es.
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.

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Research Engineer – Language Models for Science (RE3)

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