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. The project will optimize fishing practices to reduce ecological impacts, providing actionable insights to inform policy decisions that balance economic performance with environmental conservation. Project
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accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control
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vibration analysis techniques Strong understanding of drilling automation systems and modern control theories, including multivariable control, learning-based control, nonlinear dynamics, convex optimization
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to an exciting project at the intersection of data assimilation and optimal transport, focusing on Wasserstein Gradient Flows. The goal is to design innovative assimilation schemes using nonlinear approximation
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. The goal is to design innovative assimilation schemes using nonlinear approximation tools—such as neural networks, spline functions, or Gaussian random fields. The core challenge? Developing methods
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. • Characterisation of cooperation amongst elements of a network in terms of robustness and optimality. • Synthesis and design of nonlinear distributed controllers. • Data-driven control in a nonlinear setting. This
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You are thrilled by both conceptual questions and experimental work in the laboratory as well as the optimization and further development of components for high-power fiber lasers and would you like
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interest. They include but are not limited to 1) innovative use of AI/ML for designing and optimizing photonic materials, devices, and systems, 2) enabling photonic technologies for AI computing and
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sources and nonlinear converters. You will work independently on projects in the field of fiber preform research and write reports and publications in English, or if possible, German language. What you
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, including being well-versed in a variety of nonlinear editing systems Knowledge of Microsoft Office, Google Suite, PowerPoint, working with laptop and projectors' basic knowledge. Familiarity of online