Physics-Informed ML for High-Res Pedestrian Radar Imaging
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Imec invites applications for a Physics-Informed Machine Learning internship focused on radar imaging of pedestrians. You will work on a FMCW/MIMO ISAR processing framework, exploring physics-informed and deep-unfolding approaches to improve autofocus and image reconstruction.
The position targets MSc or PhD students in electrical engineering, computer science, or related fields, with Python and ML experience, and a strong interest in radar imaging and computational imaging.
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