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LEAD R&T SCIENTIST - AI-ENABLED LOCAL DIGITAL TWINS (m/f)

Luxembourg Institute of Science and Technology - LIST
LUEnglish40d ago
machine-learning

Belval, Luxembourg | Permanent contract (CDI) | Full-timeAre you passionate about research? So are we! Come and join usThe Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organization (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu /How will you contribute?You will join the AI Readiness and Assessment (AIRA) group within the Human-centered AI, Data and Software (HANDS) unit as lead researcher for its activities on AI-enabled Local Digital Twins (LDT). Local Digital Twins are becoming the operational backbone of the European smart-city agenda: they bring together real-time urban data, 3D and geospatial models, simulation and artificial intelligence so that cities and communities can anticipate, decide and act. Your mission is to make AI use cases in cities work in a fully compliant, interoperable and sovereign manner, building on European data-space technologies, open standards and shared governance. You will do so across the whole innovation chain, from mid-TRL research to high-TRL development and deployment with public actors.You will be mainly in charge of:• Overseeing the group's project portfolio in the field of Smart Cities, Local Digital Twins and Data Spaces, taking scientific and technical responsibility for their results. Acting as Principal Investigator and/or Work-Package leader on specific projects within the domain.• Supporting the group leader in the definition and the periodic update of the Strategic Research and Innovation Agenda (STRIA) in the field of AI-enabled Local Digital Twins: framing the underpinning research questions, identifying target calls and projects, specifying the outcome assets to be built and reused, mapping and growing the required team capabilities, and setting the roadmaps, milestones and impact criteria against which progress is measured.• Collaborating across LIST units and groups to federate efforts, competences and assets, and on that basis defining and driving the scientific and technological roadmap for AI-enabled Local Digital Twins: digital twin architectures and reference implementations, semantic...

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