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) Doctoral Network ‘ENDURE’ on Enabling Scaled Production of Durable Natural Fibre Components coordinated by the Technical University of Denmark. The PhD project is anchored at the Section of Manufacturing
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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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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 postdoc requires academic
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how disturbances or cyberattacks, such as sensor manipulation
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or entangled photon pairs. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of
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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