Overview
Starting date: 01/03/2026
Job Reference: 44_26_CASE_DT_R3
Position: AI Cybersecurity Data-Centric Security Researcher (R3)
Closing Date: Tuesday, 10 February, 2026
Reference: 44_26_CASE_DT_R3
Job title: AI Cybersecurity Data-Centric Security Researcher (R3)
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.
Equity, Diversity and Inclusion
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 Barcelona Supercomputing Center is hiring a researcher with high knowledge on Cybersecurity and Data-Centric Security, including data lake management, data-driven workflows design and engagement with event-driven applications.
Key Duties
- Identify and build the processes that integrate the required digital models, either in cyber-ranges, digital twins and/or digital shadows. Design and develop cybersecure solutions for on-premise infrastructures. Co-design and development of a complex hybrid platforms integrating, among others, external services, data and user privacy management, workflow managers, AI/ML processes and management and integration of production-level services. Deliver high-quality, scalable and interoperable solutions that meet project requirements. Design and develop red/blue/purple team solutions for on-premise infrastructures. Collaborate in achieving project deliverables according to the established plan. Contribute to meaningful and measurable results
Requirements
Data-Centric Security Architecture
- Education
- Bachelor in Sciences (mathematics, telecommunications, physics, engineering, etc )
- PhD in Computer Engeering and Mathematics Security.
- Essential Knowledge and Professional Experience
- AI/ML & Data Science Expertise (Mandatory)
- Deep knowledge of machine learning algorithms, data modeling, statistical analysis, and predictive analytics specifically applied to cybersecurity contexts
- Proven experience developing and deploying ML models for real-time anomaly detection, threat classification, and behavioral analysis on large-scale security datasets
- Strong proficiency in adversarial machine learning, including understanding of threats like model poisoning, evasion attacks, and data inference, with experience using frameworks like MITRE ATLAS for threat mapping
- Ability to perform AI-specific threat assessments, red-teaming exercises, and adversarial testing on ML models and data pipelines, enabling purple team solutions.
- Experience designing and implementing data-centric security controls, including encryption for data at rest and in transit, secure data pipelines, and granular, role-based access controls
- Expert understanding of data security fundamentals: encryption technologies, access management, the CIA Triad (Confidentiality, Integrity, Accessibility), and secure data lifecycle management
- Demonstrated ability to secure training and inference data for AI systems, ensuring validation, logging, and protection against tampering
Data Engineering & Big Data Technologies
- Hands-on experience with massive security datasets (e.g., logs, network flows, endpoint telemetry, user behavior analytics)
- Proficiency with big data processing frameworks (e.g., Apache Spark, Kafka) and data warehousing solutions for feature engineering and model training
- Advanced coding skills, particularly in Python, and relevant libraries (Pandas, Scikit-learn, TensorFlow, PyTorch) for data analysis and ML/DL model development
- Experience in development of RAG systems, both academic/theoretical and hands-on.
- Hands-on experience integrating ML models with security operations tools: SIEM platforms and threat intelligence feeds
- Knowledge of cloud-native security tools and secure API design
Foundational Cybersecurity Knowledge
- Solid grasp of network security principles, intrusion detection, endpoint management, and vulnerability assessment to contextualize AI-driven findings
- Understanding of security frameworks, threat detection systems, and incident response workflows
Additional Knowledge and Professional Experience
- Knowledge on HPC applications and parallel programming models.
- Knowledge on Agile methodologies.
- Knowledge on Service oriented Architectures.
- Strong capacity for software design.
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Competences
- A collaborative mindset and enthusiasm for learning new skills co-creating solutions with public and private partners.
- A thoughtful approach to problem-solving and goal-oriented.
- Strong analytical background and critical thinking.
- Ability to work in a team and in a multi-cultural environment.
Conditions
- The position will be located at BSC within the CASE Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, adaptable 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: 01/03/2026
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
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.
For more information follow this link
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