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acoustic signal processing, you will contribute to the development of next-generation acoustic sensing systems. You will push the boundaries of: Continuous-time and sparse representations
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experiments for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban
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trial focused on muscle-driven robotic technologies. Assist in IRB protocol development and ongoing human subject documentation. Conduct electromyographic ( EMG ) recordings and signal processing to
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explainable and localized detection methods for watermark and deepfake attribution, especially when generated content is mixed with other audio sources. Studying robustness against signal-processing attacks
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, high-gain antenna systems, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying
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for watermark and deepfake attribution, especially when generated content is mixed with other audio sources. Studying robustness against signal-processing attacks, generative resynthesis attacks
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. In this research project you will work on the intersectional area of antenna design, circuit design and signal processing to investigate novel nonlinear multi-antenna transmitters that overcome these
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processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can
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languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction