Research Engineer, Data Privacy Scientist, Cssh Program, Ai Factory

**Job Reference**:

- 633_25_DIR_CSSH_RE3

**Position**:

- Research Engineer, Data Privacy Scientist, CSSH Program, AI Factory (RE3)

**Closing Date**:

- Sunday, 09 November, 2025

**Reference**: 633_25_DIR_CSSH_RE3

**Job title**: Research Engineer, Data Privacy Scientist, CSSH Program, AI Factory (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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**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, data privacy strategies, 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.

This project is funded by the European Union’s Recovery and Resilience Facility, in accordance with Council Regulation (EU) 2020/2094 of 14 December 2020, and regulated by Regulation (EU) 2021/241 of the European Parliament and of the Council of 12 February 2021, in the context of the “BSC AI Factory” project.

The BSC AI Factory project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101234399. The JU receives support from the European Union’s Horizon Europe Programme and Spain, Portugal, and Türkiye.

**Key Duties**
- Design and help implement comprehensive data privacy protocols and infrastructure components for the AI Factory initiative, including data anonymization frameworks, development of differential privacy algorithms, and a GDPR-compliant Data Broker to manage access to sensitive datasets (public administration, healthcare, genomics)
- Implement FAIR principles (Findable, Accessible, Interoperable, Reusable) through advanced data management protocols, including development of metadata standards, data cataloging systems, semantic annotation frameworks, and privacy-preserving data sharing mechanisms for European research collaboration
- Develop privacy-preserving research tools and computational workflows that enable secure analysis of sensitive social science and humanities datasets while maintaining regulatory compliance, including creation of data transfer impact assessments and controlled access mechanisms
- Document comprehensive data management methodologies, privacy-preserving practices, and regulatory compliance frameworks for the AI Factory ecosystem, including creation of technical guidelines, policy frameworks, and training materials for researchers and European SMEs using sensitive data infrastructure

**Requirements**:

- Education
- MSc in Computer Science, Data Science, Statistics, or related field with demonstrate