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

Job description

Overview

Research Engineer, Data Privacy Scientist, CSSH Program, AI Factory (RE3) 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 accelerates AI adoption across industry sectors, particularly supporting SMEs and startups while strengthening the European innovation ecosystem.

The AI Factory relies on secure, efficient management, sharing, and analysis of diverse and often sensitive datasets.

This role contributes to designing and implementing the data infrastructure for the AI Factory ecosystem, including a Data Broker for GDPR-compliant data access, secure storage, transmission, and monitoring of sensitive data.

A key focus is on data curation practices, data privacy strategies, and adherence to FAIR principles to facilitate dataset coordination for AI Factory users.

The project is funded by the EU Recovery and Resilience Facility and regulated under EU Regulations 2020/2094 and 2021/241.

The BSC AI Factory project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No .

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 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 Provide technical support for privacy-preserving AI/ML model validation and statistical analysis, including development of statistical disclosure control methods, privacy utility trade-off analysis for research data sharing, and validation frameworks that ensure privacy guarantees and regulatory compliance Develop privacy-preserving research tools and computational workflows for 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 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 demonstrated specialization in privacy-preserving technologies, cryptography, or data protection

Essential Knowledge and Professional Experience

Proven expertise in privacy-preserving techniques including differential privacy, federated learning, secure multi-party computation, encryption Hands-on experience with Python or R for implementing privacy-preserving algorithms and statistical disclosure control methods Knowledge of regulatory frameworks including GDPR, EU AI Act, and data protection legislation, with practical implementation experience

Additional Knowledge and Professional Experience

Experience with statistical disclosure control and privacy utility trade-off analysis for sensitive data applications Experience implementing privacy-by-design principles in data infrastructure or research environments Practical knowledge of FAIR data principles in regulated environments

Competences

Good fluency in both spoken and written English 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 Computational Social Science and Humanities Laboratory Full-time contract (37.5h/week), a stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance Duration: 3 years Holidays: 23 paid vacation days plus 24th and 31st of December per the collective agreement Salary: competitive salary commensurate with qualifications and experience, aligned with the cost of living in Barcelona Starting date: asap Applications procedure and process

All applications must be submitted via the BSC website and include: a full CV in English including contact details; a cover/motivation letter in English specifying the specific area and topics of interest, and two references.

Applications without this document will not be considered.

Development of the recruitment process

The selection uses a competitive examination system (Concurso-Oposición) with two phases: Curriculum Analysis (40 points) and Interview phase (60 points).

A minimum of 30 points out of 60 is required to be eligible.

The recruitment panel includes at least three people with gender representation of women at 25%.

The process follows OTM-R principles and may include interviews, a personality questionnaire, and a technical exercise.

Feedback will be provided to all interview participants.

For suggestions or complaints about recruitment, contact More information is available via the official link.

Deadline

The vacancy remains open until a suitable candidate is hired.

Applications are regularly reviewed.

OTM-R principles for selection processes

BSC-CNS adheres to the European Code of Conduct for the Recruitment of Researchers and the Open, Transparent and Merit-based Recruitment principles (OTM-R).

BSC-CNS is an equal opportunity employer committed to diversity and inclusion.

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Required Skill Profession

Other General