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fair recruitment process that does not rely purely on common research metrics. The successful applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a
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into the ACT's simulation, analysis and optimisation workflows, fostering the adoption of mathematically grounded machine learning methods in space applications. As an ACT researcher, you will: publish results in
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, hydrodynamic data, infrastructure data, etc.) will be used in combination with already existing tools for maritime traffic simulation (e.g., OpenTNSim, which is being developed at TU Delft), energy consumption
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, etc.) will be used in combination with already existing tools for maritime traffic simulation (e.g., OpenTNSim, which is being developed at TU Delft), energy consumption estimates, and emission
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, reliability, multi-physics and multiscale simulation. Demonstrated publication record in high-quality international journals and conferences. Experience working in multidisciplinary and international research
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structures, materials and control systems function, and to turn these into validated, reusable abstractions for space engineering. In line with this agenda, the research will make use of modern simulation and
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willingness to collaborate across the other area. You will work with the task PI, Dr. Megha Khosla, and her team of PhD and Master’s students. You will also collaborate with scientists from different fields
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-driven dynamical systems, perturbative theories in celestial mechanics, symbolic regression, inverse methodologies via differentiable simulations, efficient high-dimensional numerical quadrature and more
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communication modalities, as well as supporting prototype development and integration within simulation and real-world testing environments. A key aspect of the role is bridging technical implementation with