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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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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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information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation
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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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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and reinforcement learning (RL)-based control approaches to enable intelligent and adaptive robotic
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for soft and continuum robots, integrating advanced sensing technologies for shape and force estimation, and implementing sensor-based feedback control strategies. The project will also explore AI-based and
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circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15
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Research Infrastructure? No Offer Description The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7