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, engineers, and PhD students, Develop and characterise novel robotic vision representations, algorithms and/or imaging technologies, Contribute to the ARIAM Hub’s demonstrator program that will showcase your
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of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Mission Autonomy for Robotic Satellites who has: recently completed, or about to complete, a PhD in Robotics
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and Digital Agriculture), agricultural robotics (Australia Centre for Field Robotics), augmented by world class soil science. The successful applicant will have a thorough understanding of sustainable
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underground. The second theme will advance those stress sensors to facilitate the perception of soft underground robotics of their surroundings. The chosen candidate will work closely with the research team
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, psychology, musical composition, community activism, and robotics. Recognising that design cannot happen in isolation, we actively collaborate across disciplines and with external partners, including industry
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plant production & breeding (Plant Breeding Institute), digital agriculture (Precision Agriculture Laboratory) including agricultural robotics (Australian Centre for Field Robotics), soil science (Soil
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academic publication of your research, supervise honours and/or PhD students, and engage directly with the industry partner. This research-focused role does not require a teaching load, but opportunities may
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, psychology, musical composition, community activism, and robotics. Recognising that design cannot happen in isolation, we actively collaborate across disciplines and with external partners, including industry
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will be expected to lead the project, build your research profile in the subject, engage in the academic publication of your research, supervise honours and/or PhD students, and engage directly with the
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Robotics (ACFR) at the University of Sydney, which was established in 2007. Since its launch, it has become a world-class research group of scientists and engineers, recognised for both fundamental research