Offer Description Applications are invited for a temporary post of a Research Scientist within UCD School of Computer Science.
The Research Scientist will join the UCD School of Computer Science to support UCD's contributions to CERTAIN , a Horizon Europe Innovation Action focused on developing the foundations for AI certification , automated compliance , and trustworthy/ethical AI across the full AI value chain.
UCD's role spans legal-ethical-societal compliance (WP3) , contributions to regulatory-aligned tools for data holders and AI providers (WP4 & WP5) , and a central role in Pilot 7 , where UCD acts as Compliance and Ethics Advisor guiding the integration of automated regulatory checks in MLOps pipelines for SMEs and digital solution providers.
The Research Scientist will support research, analysis, framework development, stakeholder engagement, documentation, and dissemination, ensuring that CERTAIN outputs meet the requirements of GDPR, the EU AI Act, Data Governance Act, and EU Trustworthy AI principles. The role offers a unique opportunity to work at the intersection of AI regulation, applied ethics, data governance, compliance automation, and MLOps in a major European project.
Closing date: 12:00 noon (local Irish time) on the 16th of December 2025.
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned.
Communication, Organational skills, Research skills, Digital emerging technologies, AI, Data Science, MLOps, AI lifecycle management, CI/CD pipelines, GDPR, EU AI Act, GDPR, DGA, DSA, DMA
Eligibility criteria Mandatory:
PhD in Computer Science (preferably in digital emerging technologies) with significant post‑qualification research experience.
Typically, a minimum of 4 years postdoctoral experience, ideally including an international element and/or enterprise experience in emerging technologies.
Track record of high‑quality publications and/or innovation outputs, in accord with the norms of their discipline.
Demonstrable track record in the following areas: AI, Data Science, Information Systems, or a closely related field.
Significant research experience (typically ≥4 years post‑PhD or equivalent) in one or more of the following: AI ethics, trustworthy AI, data protection, GDPR and AI governance, MLOps, AI lifecycle management, CI/CD pipelines, semantic technologies, ontologies, or knowledge graphs, compliance frameworks or risk assessment methodologies.
Strong publication record or equivalent research output.
Demonstrated experience contributing to or leading research projects, including reporting and coordination tasks.
Proven ability to translate technical concepts into legal/ethical/compliance guidance and vice versa.
Evidence of independent research capability, including senior authorship.
Experience communicating research to diverse audiences (technical, policy, industry, academic).
Demonstrated commitment to Equality, Diversity and Inclusion (EDI) and ability to foster an inclusive research environment.
Experience with AI regulatory frameworks (EU AI Act, GDPR, DGA, DSA, DMA).
Experience with European Horizon projects or similar large‑scale multi‑partner research.
Background in data spaces, trustworthy ML, or data lineage frameworks.
Experience in standardisation bodies (IEEE, ISO, CEN‑CENELEC) is an advantage.
Experience collaborating with SMEs or industry partners in applied AI contexts.
Familiarity with pilot‑based validation methodologies.
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