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for the development, calibration and validation of the corresponding advanced multi-physics computational models. You will collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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