29 data-"https:"-"https:"-"https:"-"https:"-";" "Computer Vision Center" positions in Luxembourg
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technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role Successful candidates will pursue a PhD degree in
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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
geoinformatics, computer science, software engineering, geography, data science or a related discipline. Essential qualifications · Relevant experience in geospatial software development
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development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial intelligence, machine learning, and digital
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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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SD-25168 -PHD POSITION IN ADVANCED CORRELATIVE MICROSCOPY AND ISOTOPIC IMAGING FOR NEXT-GENERATIO...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 4 hours agowell as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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SD-25168 -PHD POSITION IN ADVANCED CORRELATIVE MICROSCOPY AND ISOTOPIC IMAGING FOR NEXT-GENERATIO...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 4 hours agowell as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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work within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). This is a fully funded position with a duration of 2 years, within a collaborative project involving leading academic and
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, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv
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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
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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