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21.10.2025, Wissenschaftliches Personal PhD position developing AI-based 3D perception and sensor fusion methods for real-time understanding of dynamic environments within the Marie Skłodowska-Curie
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specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs 30 days of annual leave Further development of your
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invariant theory. Others are working on problems of localization and mapping from sensor data (e.g., GPS) using techniques from distance geometry and billiards. Ideally, the candidate would complement
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apply with no application fee during Free Application Week, October 6–10, 2025.👉 Learn more and apply here: https://go.ua.edu/4g4YUyJOur faculty are advancing knowledge and innovation across four dynamic
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continuum robotic hardware systems Integration of miniaturized actuators and sensors into continuum robotic platforms Calibration and experimental validation of the developed robotic systems, including
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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sensors, wireless communication, telecommunications, and sensor networks, MEMS/NEMS and lab-on-a-chip systems, environmental, industrial, or energy-related sensing, computational science, including AI- and
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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Brandenburg University of Technology Cottbus-Senftenberg (BTU) bundles top-level research and transfer at an international level, thereby creating an interdisciplinary innovation network and an excellent
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth