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. Demonstrated expertise in robotic systems, UAV platforms, and embedded computing. Strong track record of publications in robotics, control, or autonomous systems. Experience with ROS/ROS2, MAVLink, PX4/ArduPilot
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, Autonomous Vehicles , Circuits , Communications and Networking , Electromagnetics , Electronics , Embedded Computing , Integrated Sensors , Internet of Things , Power Electronics , Robotics , semiconductors
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growing and collaborative robotics ecosystem at UCF. The selected candidate will play a pivotal role in advancing UCF’s new Master’s in Robotics and Autonomous Systems, launched in Fall 2024, and contribute
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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interpretability of intelligent systems in safety-critical domains like autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in
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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms
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in “Embodied-AI and Human-Robot-Interaction” within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting in spring 2026, or as agreed. Department
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NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within