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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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resources. Scientific Objectives: Develop a system using foundation models to detect, classify, and track both stationary and moving objects from multimodal sensor data. Integrate self-learning mechanisms
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(negotiable) Contract Duration: 36 months, full-time employment Trial Period: 6 months Project Tasks and Objectives Objectives Industry: Object detection on construction sites to verify elements of a BIM
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immediately. We are seeking a highly qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal
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qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long
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role in pursuing the objectives of the project by proactively developing solutions Regular publication and presentation of research results in peer-reviewed journals and conferences Your qualifications
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engagement, or program coordination. • Familiarity with the structure and objectives of the EUROfusion program is a major advantage. • Proven expertise in strategic planning, research program management, and
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). ________________________________________ Your Responsibilities • Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral
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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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(Administration) recruiting.leibniz-lsb@tum.de. We look forward to receiving your application! Data Protection Notice: As part of your application for a position at Leibniz-LSB@TUM, you will transmit personal data