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**Job Reference**:
- 467_25_DIR_CSSH_RE2
**Position**:
- Research Engineer for CSSH Program, AI Factory (RE2)
**Closing Date**:
- Saturday, 02 August, 2025
**Reference**: 467_25_DIR_CSSH_RE2
**Job title**: Research Engineer for CSSH Program, AI Factory (RE2)
**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 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 Barcelona Supercomputing Center (BSC) is seeking a Research Engineer to join our Computational Social Science and Humanities Laboratory as part of the AI Factory initiative. The AI Factory is a European project accelerating AI adoption across industry sectors, particularly supporting SMEs and startups while strengthening the European innovation ecosystem.
The AI Factory, which utilizes MareNostrum5's specialized AI partition, relies on the secure and efficient management, sharing, and analysis of diverse and often sensitive datasets, including public administration and health data. This role will contribute to designing and implementing the necessary data infrastructure for the AI Factory ecosystem. This includes developing components such as a Data Broker for managing data access in adherence to GDPR, ensuring secure storage, transmission, and monitoring of sensitive data.
While Trusted Research Environments (TREs) will manage secure access for highly sensitive data, such as in healthcare and genomics, this position will primarily focus on building the broader, interconnected data infrastructure that supports all AI Factory initiatives. A key responsibility will involve implementing data curation practices and adhering to FAIR principles (Findable, Accessible, Interoperable, and Reusable) to facilitate data management and dataset coordination for AI Factory users.
This position provides an opportunity to contribute to AI readiness strategies, combining technical skills with effective data stewardship, and bridging computational innovation with practical AI implementation across European public and private sectors.
**Key Duties**- Design and implement data infrastructure components for the AI Factory initiative, including a Data Broker to manage access to diverse datasets while ensuring adherence to GDPR and other legal requirements.- Establish and maintain mechanisms for secure storage, transmission, and monitoring of sensitive data (such as public administration and health data) within the AI Factory ecosystem.- Implement data curation practices and uphold FAIR principles (Findable, Accessible, Interoperable, and Reusable) to facilitate data management and dataset coordination for AI Factory users.- Provide technical support for data analysis, including AI/ML models and advanced statistical models, relevant to the development and validation of the data infrastructure- Develop essential research tools, such as computational workflows or software add-ons, to support the creation and optimization of the AI Factory's data infrastructure- Contribute to documenting methodologies, processes, and best practices related to the data infrastructure and sensitive data handling within the AI Factory ecosystem
**Requirements**:
- Education
- MSc in Data Science, AI or similar
- Essential Knowledge and Professional Experience
- Hands-on experience with python, R, and C (at least one of them)
- Experience with data analysis, such as using Python ML libraries or R statistical libraries.
- Additional Knowledge and Professional Experience
- Experience with data processing, data cleaning or preparing data for analysis.
- Good fluency in both spoken and written English
- Experience in AI models for science is a plus
- Experience using HPC
- Competences
- Competency in Python or R
- Knowledge of HPC and Distributed Computing
- Good communication skills for effective collaboration
- Ability to work both independently and within a team
- Hard-working and highly organized
**Conditions**
- The position will be located at BSC within the Directors Department
- We offer a full-time contract (37.5h/week),
