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Field
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of integrated and inertial navigation. The working group deals with multisensor systems, i.e. the sensor fusion of GNSS (GPS, Galileo, GLONASS, Beidou), INS (inertial navigation system), cameras, LiDAR (light
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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ABOUT GHENT UNIVERSITY Phd position Markerless Motion Capture using Wearable Sensors Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education
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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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. Local slopes of a perturbed wavefront (for example, after propagation through turbulence) can be sensed using such a filter and a camera. From the measured slopes, the well-established algorithms used in
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into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems
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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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To strengthen our team in the division “Fibre Optic Sensors” in Berlin-Steglitz, starting 01.05.2026, we are looking for a Research associate (m/f/d) in the field of in the field of electrical
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multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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commonly used in Robotics Expertise in the use and development of Robotics/or sensors for marine applications Strong background in algorithm development for perception, navigation and positioning