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Vacancies PhD position on indirect combustion noise; Fluid Mechanics; CFD; Aeroacoustics Key takeaways Simulation-based development of indirect combustion-noise theory To remedy ineluctable
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consumption. Enhance modulator driving capability and receiver sensitivity. Investigate circuit and system-level trade-offs between bandwidth, noise, linearity, power, and cost. Contribute to scalable
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of classical telecom networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence
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include other domain models (e.g. emissions, noise) in collaboration with other researchers. This PhD position is part of the Dutch Aviation Systems Analysis Lab (DASAL), a flagship collaboration between TU
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problems” and under this vision, it has contributed many fundamental new ideas in circuit design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers
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trade-offs between bandwidth, noise, linearity, power, and cost. Contribute to scalable electronic solutions for future AI-driven optical interconnects. Design, implement and characterize the most
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POWER project addresses this challenge by filling vital knowledge gaps regarding underwater noise, biomass and water flows, and wildlife disturbance (such as seabirds and bats) to support a sustainable
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to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
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networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence, especially over long
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image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise