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a diverse range of topics at the leading edge including high-speed optical transmission, signal processing, ultra-wide-band amplification, nonlinear photonics, fibre gratings, fibre lasers, bio- and
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systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification. Typical identification algorithms
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applied/experimental physics and/or related areas • Analytic and experimental skills proven by MSc-work or work experience • Background in optics, nonlinear optics, material science and/or solid state
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mathematics and simulations, applied mathematics modelling, nonlinear science, wave propagations in lattices, fluid mechanics and financial mathematics. About You The successful candidate will be expected
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, and laboratory operations. Responsibilities include: Applying advanced understanding of ultrafast spectroscopy, nonlinear optics, and materials physics to research problems. Conducting literature
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monitoring techniques. Study the interaction patterns of control and protection. Solve large systems of linear and nonlinear equations using applied mathematics and numerical methods. Where to apply Website
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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to the lack of generation inertia worsening power system stability. Control of such a complex system relies on detailed understanding and real-time modelling of the nonlinear dynamics resulting from
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approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning
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? Please make sure that your ORCID-profile (https://orcid.org ) works: your publications are listed and public (Set visibility: Everyone). You cannot apply to this job without an ORCID profile