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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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tunneling diode (RTD) excitable dynamics with quantum-dot active devices capable of providing a nonlinear amplifying response to extremely weak optical stimuli. These photonic neurons will be realized as
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imaging systems. These methods naturally lead to challenging mathematical models, including nonlinear partial or ordinary differential equations. However, real-world optical systems are subject to
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nonlinear behavior makes it difficult to guarantee safety and stability. How can we exploit the expressive power of machine learning without compromising the rigorous guarantees required in safety-critical
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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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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