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devices. Yet, predicting and exploiting nonlinear behaviour, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique
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the second direction, you will explore the geometric design of nonlinear systems. Using nonlinear reduced order modelling (ROM) integrated with optimization algorithms, you will design structures
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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—such as bent, plateaued, and almost perfect nonlinear (APN) functions—and the design of linear codes with prescribed properties useful for cryptography, including minimal, self-orthogonal, LCD and optimal
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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on performance, safety, and robustness of robotic and learning-enabled systems. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear
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devices on SiCOI; Design, fabricate, characterize, optimize and evaluate the performance of integrated circuits for the later prototyping and system application. Where to apply Website https://efzu.fa.em2
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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geometry, even in cases in which the geometrical definition is not optimal, i.e. poorly defined or “dirty” geometries with no additional operations nor user intervention. Functions to be developed: Within