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Fixed term contract | Belval | 24 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu / How will you contribute? The AI Readiness and Assessment (AIRA) research group at LIST is seeking a highly motivated professional to contribute to the research on AI assessment. You'll advance the methods and tooling for qualifying AI systems within the Luxembourg AI Factory, characterizing an AI system and deriving which evaluations, controls, quality management processes and regulatory requirements apply to it. Your contributions will drive the catalog of assessment tools for the AI Assessment Sandbox Configurator ( https://aifactory.lu/build-and-test/testing-the-solution/ai-sandbox-configurator ) Core qualification research • Formalize how a system's characteristics (purpose, domain, data, risk profile, etc.) map to applicable assessments, controls, requirements, quality management processes, etc. captured as a reusable knowledge base (ontology / rule model), not hard-coded heuristics.[GC1] • Handle incomplete system descriptions through interactive elicitation and confidence-aware recommendations. Method & tooling • Turn AI system characteristics into a justified, reproducible selection of tests and controls, moving from rules of thumb to an evidence-based, explainable, auditable method with full traceability from decisions to evidence. • Explore agentic/LLM-assisted automation of the workflow (system description → tailored assessment plan). • Implement AI assessment algorithms and tools, fully integrated into the AI Assessment Sandbox Configurator Compliance & standards • Ground the logic in the evolving regulatory and standards landscape (EU AI Act, ISO/IEC, CEN-CENELEC JTC 21, etc.) and translate abstract obligations into concrete, testable requirements. Integration & validation • Integrate qualification into the wider assessment platform (controls, plugins, reporting) and validate on real systems through case studies. • Validate and improve methods and tools to industrialize and scale AI assessment especially for agentic AI. Dissemination & ecosystem • Contribute to publications and open-source releases, engage with the ecosystem of partners and community governance.    Is Your profile described below? Are you our future colleague? Apply now! Education • Ph.D. in Computer Science, AI, Information Systems, AI governance, or a closely related field. Experience • Research experience in AI evaluation or testing (e.g. bias, drift, robustness, performance, cybersecurity, etc.). • Hands-on experience building AI tools and pipelines in Python. • Exposure to agentic / LLM-based automation. • A track record of scientific publications and/or open-source contributions. • Familiarity with AI compliance, standards, or regulatory frameworks (e.g. EU AI Act, ISO/IEC, CEN-CENELEC) is a plus Hard skills • AI assessment: familiarity with methods for evaluating AI systems and scoping which tests and requirements apply to a given system. • Software & pipelines: strong Python; designing modular, plugin-based pipelines with reproducible, traceable results. • Compliance & standards (valued): an interest in translating legal/standard obligations into concrete, testable requirements, and awareness of the AI policy landscape. Depth here is appreciated but not expected up front. • Knowledge modeling (asset): ontologies, rule/requirement models, or similar for mapping systems to requirements. • AI/agentic automation (asset): LLM ag