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experience of Python, VASP, PySCF, classical mechanics, scientific IT and data handling Experience in neural network architectures, bayesian optimization, random forest, kernel models, or gaussian process
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reconfigurable manipulation system for aerial robotics applications. Soft robotics manufacturing methods to develop meta-morphic aerostructures. Designing shape-changing control architectures. System integration
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CNC programming and CAD software (e.g., Siemens NX) for print job preparation is highly beneficial Experimental skills in metallographic sample preparation, with experience or willingness to learn
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operating additive manufacturing systems (DED and LPBF), including CNC programming and CAD software (e.g., Siemens NX) for print job preparation is highly beneficial Experimental skills in metallographic