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and maintenance prediction and integrate analytics into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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Industry/University Cooperative Research Center for use-inspired R&D to advance wind energy science & technology. UTD Wind is also a member of the Ocean Safety Energy Institute (OESI), a consortium of
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management skills. Strong interpersonal and mentoring skills. Advocate for safety and ethics in the workplace. Preferred: Experience with integrated CMOS circuit design, verification, and tapeout in standard
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general. Excellent project and time management skills. Strong interpersonal skills and mentoring skills. Advocate for safety and ethics in the work place. Preferred: Hands-on experience with vacuum system
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector
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), overall health, and more. For instance, in electric vehicles, the BMS carries out functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery
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-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine
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Location ESTEC, Noordwijk, Netherlands Our team and mission You will be assigned as Product Assurance and Safety (PA&S) Internal Research Fellow in the Quality and PA (Product Assurance) Management