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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML
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university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array of undergraduate and
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conservation outputs. The successful candidate will develop AUV survey plans, including transect design, sensor configuration, and sampling parameters, to ensure high-quality data capture. They will manage and
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restoration efforts. You will form an integral part of the Selva lab team led Dr Tommaso Jucker (https://www.selvalab.org ), and will work closely with two postdoctoral researchers and three PhD students
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian ERI@N is establishing capabilities and physical test setups to support
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this impacts forest restoration efforts. You will form an integral part of the Selva lab team led Dr Tommaso Jucker (https://www.selvalab.org ), and will work closely with two postdoctoral researchers and three
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University of California Agriculture and Natural Resources | Davis, California | United States | 16 days ago
farming practices. The Specialist will examine the potential of agricultural technologies, such as drones, spectral analysis, and sensors, to help California growers ensure the safety of their harvest while