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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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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
5 Sep 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Electronic engineering Researcher Profile
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doctoral degree in Electrical Engineering, Computer Science, Applied Mathematics, Signal Processing, Machine Learning, Robotics, or a closely related field, with research relevant to localization, sensing
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largest departments in its discipline in the UK. The Communications and Signal Processing research group has the combined strength of communication systems, microwave engineering, and signal processing
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Safety, Data Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety
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Systems, Electromagnetic Compatibility and Signal/Power Integrity, RFIC/MMIC, Advanced Packaging and Heterogeneous Integration •Communications, Signal Processing, Optimization, Information Theory, Coding
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cost-effective, synchronised multi-node sensing system for simultaneous time-domain measurements of voltages, currents, electric fields and magnetic fields, supported by digital signal processing
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systems, from programming languages to software engineering, from human machine interaction to signal and image recognition, multimedia processing, knowledge engineering, artificial intelligence, and
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About the Opportunity As a Postdoctoral Fellow, the candidate will conduct research on the fundamental theories of signal processing and explore their applications in modern communication systems
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, statistics, physics, aerospace engineering, signal 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