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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in Electrochemical Impedance Spectroscopy and Advanced Signal Processing for Lithium-Ion battery diagnostics is available
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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connections, measurement of relevant electrical signals, designing and building: water cooling system, gate drives, signal to power interface cards, designing magnetic transformers and inductors including
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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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(WBG) based Resonant and non-resonant based power supply design 2) Ultra efficient point of load power supplies for cell level design 3) Adaptive pulse rise/fall time control 4) Modular power electronic