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an experimental campaign (granular material 3D printing, static/dynamic testing) and a computational investigation (discrete element simulation). Depending on the candidate’s profile, more emphasis may be placed
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that combines an experimental campaign (granular material 3D printing, static/dynamic testing) and a computational investigation (discrete element simulation). Depending on the candidate’s profile, more emphasis
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for manufacturing processes such as 3D Printing, laser cutting, precision motion, robotic manipulation, using methods in machine learning, federated learning, and optimization. In all cases, the results will be
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of digital twin-based learning and optimization methods for manufacturing processes such as 3D Printing, laser cutting, precision motion, and robotic manipulation using methods in machine learning, federated
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. Knowledge and application of numerical modelling in solid mechanics. Production of 2D drawings and 3D models. Manufacturing and fast prototyping of mechanical parts, using 3D printing and machining Fluent in
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the potential held by electromagnetic forces in harnessing metallic melt flow and solidification towards innovations in the 3D printing of aluminum and its alloys. More information about the project can be found