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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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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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be monitored with an ensemble of 1D pressure sensors and event cameras in a Particle Image Velocimetry (PIV) setting, to record the changes of large-scale velocity flow field. Event-based vision is
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., optical Core Scanner, Multi-Sensor Core Logger, and Online Gas Analysis Development of sophisticated means for quality control in the acquisition, documentation, and archiving of scientific drilling data
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out R&D activities within the scope of the Vine & Wine PT project, namely: Data collection and organization: Field data acquisition with environmental sensors; Satellite image acquisition and
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environment? Do you have a background in active acoustics and are you capable of integrating data from a wide range of sensors? As a postdoc in the Vidi project, you will apply a combination of sea-going
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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-HydroNet: A GNSS-reflectometry-based sensor network for investigating hydrological processes in Northern Finland. The work will contribute to the Digital Waters Flagship, bringing research and innovations
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sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in