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Field
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and algorithms for event-based fusion of two physically-colocalized event-based and depth vision sensors, simulate and analyse these models, and explore possibilities to realize them in CMOS ASICs
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of the recruitment and description of the project Department of System Design ,Faculty of Robotics and Design, Osaka Institute of Technology https://www.oit.ac.jp/ [Work content and job description] Sensor Engineering
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Location ESRIN, Frascati, Italy Description Data Quality and Cal/Val Manager for Atmospheric Sensor Missions in the Sensor Performance, Products and Algorithms Section, Earth Observation Mission
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control hardware. Collaborate with cross-functional teams including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training
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, including Computational Fluid Dynamics (CFD) for thermal analysis and energy simulation for consumption modelling. Design, train, and implement advanced machine learning and deep learning algorithms
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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algorithm-driven sensing systems, remote sensing and multi-modal sensor integration Applicants do not need to cover all areas listed above but should bring strong expertise in at least one and a broad
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics