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Field
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multiple techniques such as onboard safety monitoring, operating environment adaptation and real-time robust learning of uncertainties and nonlinearities within the dynamical system. In this PhD, the aim is
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the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic experiments that implement your learning algorithms in unpredictable environments. Who
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objective will be to adapt tissue-clearing techniques for multimodal nonlinear imaging while preserving both the structural integrity of the biological specimens and the integrity of the optical signals
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coding for classical optical channels, such as low-power schemes for data-centre interconnects or code constructions for nonlinear fibre transmission. The role is deliberately broad within the FEC space
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and Ultrafast Optics group led by Prof. Dr. Jens Biegert. The group works in a highly interdisciplinary field which fuses ultrafast laser physics, extreme nonlinear optics, atomic and molecular
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academic record, interested in doing scientific research towards a PhD degree. A solid background in RF/microwave engineering is required, including familiarity with concepts such as S-parameters, nonlinear
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nonlinear behaviour can introduce signal distortion, reduce spectral efficiency, and increase energy consumption. This PhD project aims to investigate Artificial Intelligence (AI)-driven techniques for real
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science and engineering. The faculty engage in fundamental and applied research and education in lasers, optical fibers, semiconductor and integrated photonic devices, nonlinear and quantum optics, imaging
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◦ Controlled simulations (nonlinear SDEs, active models, dynamics with memory). ◦ Study of the robustness of the methods (noise, low sampling frequency, partial observability). 6. Application to real systems
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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research