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) Design robust obstacle avoidance algorithms for mobile robots in dynamically changing environments, focusing on formal safety constraints and real-time performance in unpredictable conditions. b) Develop
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: Design, optimise, and operate ultra-cold atom interferometry experiments for multi-axis acceleration measurements. Develop methods to suppress drift and enhance sensor stability for extended-duration
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Responsibilities: Conduct research on differential privacy algorithms with applications in computational processes. Develop innovative ideas to enhance existing algorithms and frameworks. Collaborate on applying
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is now ready to be working towards robotics for industry and healthcare applications. Key Responsibilities: Investigation and selection of suitable sensor/actuator components Develop sensor/actuator
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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on high-speed vision perception for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries
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Officer will be mainly responsible to process geophysical data and analyze the data using machine learning algorithms. The position involves in conducting research, supervising undergraduate students, and
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve
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candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable health monitoring devices. This role will involve