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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
open geospatial standards. · 3D Tiles, CityGML/CityJSON, IFC/BIM or other advanced 3D geospatial standards. · Machine learning, deep learning, computer vision or geospatial foundation
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degree or equivalent in Computer Science or any related engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered
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further information about the role, please contact Your profile Qualification: The candidate should possess a MSc degree or equivalent in Computer Science or any related engineering discipline
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and cybersecurity, including applications and security of LLMs. Your profile The candidate should hold a PhD in Computer Science, Computer Engineering, Telecommunications Engineering, or a related
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-denied and electronically contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The
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quantitative and empirical, normally using large-scale datasets, statistical programming, and econometric methods. Other methods may be used as a complement where clearly justified, but this is not a
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
preliminary study for a future space mission. The vision is an in-orbit demonstration and validation of LIST’s technologies. The internship student will be responsible for the definition and the
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INT-26036-IN RETRIEVAL-AUGMENTED GENERATION FOR FINANCIAL REGULATION VIA LLM ORCHESTRATION AND HY...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months agodeployment Is Your profile described below? Are you our future colleague? Apply now! Education · Advanced degree (Master’s or Bachelor’s final year) in Computer Science, Data Science, Machine
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irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R programming skills will be a plus
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. Artificial Intelligence: proven ability to design and deploy AI/ML solutions on heterogeneous urban data (spatio-temporal modelling, forecasting, computer vision, optimization, generative and agentic