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at INESC TEC. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The proposed research focuses on the development of an autonomous monitoring system using optical sensors for sustainable aquaculture
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adapted to other types and configurations of offshore wind farms. The specific objectives include: •Designing and implementing an SHM architecture that integrates distributed sensors (on the turbine, tower
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settings and wearable systems. This position aims to research and develop methods for processing physiological signals, including electrocardiograms and other wearable sensors, for subsequent application
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offshore wind turbines. The specific objectives include: • Investigate and develop new concepts of hybrid anchoring and smart mooring cables. • Integrate structural sensors into mooring systems for real-time
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crucial role in exploration, monitoring, and research. The interdisciplinary nature of Marine Robotics, covering perception, navigation, positioning, and sensors, requires a dedicated researcher member with
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system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms;; - Previous experience in Deep Learning with LiDAR and vision systems
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aims to research and develop methods for processing physiological signals, including inertial signals and other wearable sensors, for subsequent application of machine learning and deep learning methods
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significant emphasis on fiber optic sensors and expertise in Python. Preferred qualifications: Participation, including the possible undertaking of responsibilities, in research and development projects in