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Field
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quantitative properties of an object or medium from measurements of waves that have propagated through it. Mathematically, such problems lead to large-scale nonlinear inverse problems governed by partial
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, future electricity prices, reservoir levels, cascade constraints, and the nonlinear relationship between water release and electricity production. Improving such decisions is essential for efficient
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inspired by notions of energy, leading to highly efficient, local learning rules. What are you going to do? As a PhD candidate, you will develop mathematical theory for learning in nonlinear and dynamic
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(ILM), interacting with PhD students, postdocs, and master's students on related topics. We seek a motivated candidate holding a master's in physics, with skills in ultrafast/nonlinear optics or soft
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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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test circuits, interfaces or PCBs. Experience characterising nonlinear, threshold, pulsed or transient behaviour in electronic or microfabricated devices. Optical microscopy, profilometry or related
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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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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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accordance with NTNUs guidelines for recruitment positions and the general criteria for the position. Preferred selection criteria A solid theoretical background in nonlinear control and the control of marine
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selection criteria A solid theoretical background in nonlinear control and the control of marine vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming