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Field
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inspection system that are fabricated by robots and multimodal sensors. Development of analytic models, simulation, and optimization for the quality inspection systems. Development of a predictive model for
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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Workplace: INESC TEC, Porto, Portugal Maintenance stipend: 651.12, according to the table of monthly maintenance stipend for FCT grants (https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu
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, multimodal sensor fusion, and safe human-robot collaboration. Emphasis will be on methods that enable robots to learn complex skills from data and adapt robustly to dynamic, uncertain environments. The role
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alongside other team members, and measuring light and noise pollution using multiple instruments and sensors, along with GIS techniques. The fellow will model the response of species and functional groups
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for sensor fusion and defect detection. Key Responsibilities: Development of artificial intelligence (AI) technologies to perform sensor fusion and defect detection. System integration of the developed
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
implantable sensors”, with reference COMPETE2030-FEDER-00781000, Operation No. 16631, funded by COMPETE2030 and national funds (FCT) under Call for Applications No. MPr-2023-12. Host Institution: i3S
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months] Duties The appointees will assist the project leader in the research project – “Multi-sensor-based smart sorting (MSS) system for solid waste recycling and sustainable development”. Qualifications
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of oil spills in the ocean based on satellite imagery. A key focus will be to develop oil spill segmentation approach based on optical sensors, and how this can be integrated with SAR sensors, current