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for a researcher as of the Feb. 1st, 2026 (PhD position) as part of the reserach project BANNER. Your tasks: Develop AI algorithms for real-time fault detection, fault classification, and failure-mode
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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maintenance. Development of machine/deep learning methods to detect fault, provide early warning and reporting, and forecast lifetime trend of batteries, to support predictive maintenance and improve energy
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, curved element optimisation, multiscale geometric feature detection, and error-controlled surface approximation. The resulting technology will be tested on real industrial geometries provided by partners
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for solving large-scale control problems (as a pack consists of a large number of cells) Fault detection and predictive maintenance. As fleet owners continuously monitor the batteries in their fleet, methods
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looking for an outstanding candidate for a PhD researcher position focusing on quantum error correction and quantum information theory. The successful candidate will work under the supervision of Hsuan-Yin
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-agent reinforcement learning (MARL) framework for cyber-physical networked fault-tolerant control of renewable energy-fed smart grids under adversarial conditions [6]-[9]. Multiple autonomous agents will
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or prize, download a copy of the regulations. Help and support You can find answers to your questions about scholarships, awards and prizes on the University's online help and support centre, AskAuckland
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solvers, finding better error correction protocols using combinatorial reasoning, processing quantum information using knowledge compilation approaches, and exploring the potential of satisfiability
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of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find