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or a related field; strong academic results and foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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human intervention. Applications range from robotics to water infrastructures, using optimisation techniques that must be safe to operate, hence our focus on safety. Qualification requirements PhD
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response of flexible cables to accelerate design optimisation. Analyse and quantify model uncertainties and perform global sensitivity analysis. Delivertechnicalreportsandcontributetopeer