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Field
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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the intersection of artificial intelligence, robotics, and cyber-physical systems, including contributing to research publications and proposal development in support of engineering programs. Architect and implement
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diverse portfolio of small spacecraft, scientific instruments, robotic systems, and technology demonstrators. The work includes resource-constrained missions, integration with externally supplied spacecraft
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This position focuses on the design, development, and evaluation of fluidic logic architectures for next-generation soft robotic systems. The work forms part of a research programme advancing
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sensing technology. You will refine and optimise a bespoke characterisation system, fabricate optical fibre sensors and evaluate their performance. You will also apply digital signal processing techniques
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, robotics, and related engineering fields. Applicant profile We welcome candidates with a strong background in electronics and particularly encourage applicants with research activities related to sensors
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algorithms for robotic manipulators, robotic navigation, computer vision, control algorithms, and sensor fusion. You will identify technology limitations and deficiencies in existing autonomous frameworks and
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’–mechanical networks built from many sensors and actuators that locally communicate with one another to achieve collective functionality. These active networks could enable next-generation bioinspired robots
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mitigation. Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability