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Open nowPosted 94 days ago

RESEARCH SCIENTIST IN AI ASSESSMENT (m/f)

Luxembourg Institute of Science and Technology - LIST

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Luxembourg
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Your applicationOpen nowRESEARCH SCIENTIST IN AI ASSESSMENT (m/f)Luxembourg Institute of Science and Technology - LIST · Luxembourg

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  6. 59.0%60 days
This job: posted 94 days ago

The posting

Fixed term contract | Belval | 24 MonthsAre you passionate about research? So are we! Come and join usThe 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: <a href="https://www.list.lu" target="_blank" rel="nofollow">https://www.list.lu</a>/ 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 (<a href="https://aifactory.lu/build-and-test/testing-the-solution/ai-sandbox-configurator" target="_blank" rel="nofollow">https://aifactory.lu/build-and-test/testing-the-solution/ai-sandbox-configurator</a>)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 ConfiguratorCompliance & 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 agents and orchestration frameworks for automating assessment and reporting. Soft skills• Ability to work effectively in interdisciplinary teams• Rigorous, autonomous researcher who can also ship working tools.• Clear communicator, at ease with project partners and an open-source community.• Comfortable at the intersection of applied AI, compliance, and software engineering.• Strong analytical and problem-solving skills, with attention to scientific rigor and interpretability• Notions of explainability and trustworthiness in AI• Clear written and verbal communication skills, including the ability to explain complex concepts to non-specialists• Intellectual curiosity and motivation to work on applied, impact-driven research• Ability to work independently while contributing constructively to a collaborative project environmentLanguage skills• Fluency in English both oral and written. Other relevant languages are an asset.Your LIST benefits• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do• An environment encouraging curiosity, innovation and entrepreneurship in all areas• Personalized learning programme to foster our staff's soft and technical skills• Multicultural and international work environment with more than 60 nationalities represented in our workforce• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions• Gender-friendly environment with multiple actions to attract, develop and retain women in science• 32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insurance• Flexible working hours, home working policy (not remote) and access to Digital lunch vouchersApply onlineYour application must include:• A motivation letter oriented towards the position and detailing your experience• A scientific CV with contact details• List of publications• Contact details of 2 referencesPlease apply ONLINE formally through the HR system. Applications by email will not be considered.Application procedure and conditionsWe kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, ethnicity, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

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