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of the mathematical Darboux Transformation in the optical domain resulting in the proposal of the Optical Darboux Transformer (ODT) device to control the nonlinear Fourier spectrum. You will develop your research, in
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of the Optical Darboux Transformer (ODT) device to control the nonlinear Fourier spectrum. You will develop your research, in synergy with experimentalists at the AIPT, on the ODT applications in telecom, and for
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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Job Description If you are an experimental physicist or optical engineer with a passion for nonlinear optics, quantum optics, and advanced fiber technologies, this is your chance to work at the
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation
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Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross-sectional
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nonlinearities, reinforcement learning for predictive control, and digital twins to bridge simulation and real-world deployment. The next step is on-sky demonstration, supported by access to telecom and astronomy
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quantum optics, nonlinear optics, and advanced microscopy with direct biomedical relevance Lead the design and experimental implementation of entirely new types of microscopes that harness squeezed states
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
-body or highly nonlinear systems. The emphasis will be on how AI methods can both characterize and optimize trajectories within complex design spaces. Within this context, contingency planning