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: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating methods for collaborative localization and sensor fusion in the ABBA USV system. The goal is to enable
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quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between senior staff, PostDocs and PhD/Master students
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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operator of onshore wind assets, invites applications for a fully funded PhD position on Risk-Based Maintenance Planning for Wind Turbine Components . This position is part of the MET2ADAPT Doctoral Network
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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-Based Maintenance Planning for Wind Turbine Components. This position is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta-Structures for Adaptable, Resilient and Sustainable Renewable
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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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(Internet of Things) to global communication systems, allowing for reliable communication throughout the entire network infrastructure. The ideal candidate will thus have a strong background within global
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both