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types of weather conditions. This position is scheduled for 40 hours per week. Weekly scheduled days and work hours will vary and may include weekends and evenings. Advance notice of schedules will be
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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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-maintaining AI can improve safety, reduce downtime, and lower energy usage by detecting faults early and adapting equipment control intelligently. Overall, this research will help create trustworthy and
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positions can be full-time/part-time . Each is position specific. Weekly scheduled days and work hours will vary and may include weekends and evenings. Advance notice of schedules will be provided
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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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verification within Electronic Design Automation (EDA) tools, side-channel analysis, fault attacks, hardware Trojan detection, microarchitectural attacks and/or AI hardware security. The essential criteria
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, furniture, and equipment. Takes initiative to notice any faults and escalates to CET for addressing. Light resetting of spaces as needed for the next day's opening. Restocks communal spaces, like coffee
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. Advance notice of schedules will be provided. Minimum Education and Experience Requirements: Graduation from high school or equivalent. Experience in the trade(s) areas related to the position’s role may be
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driver’s license. Must have an acceptable driving record, which may require up to five years of driving experience with no more than one minor fault accident or violation in the past three years