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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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, railroads, and roadway structures using Distributed Acoustic Sensing and Distributed Mobile Sensing (DAS) on telecom fiber networks and mobile sensing platforms. Build data processing pipelines for
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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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learning, as well as in digital signal processing and acoustic imaging. There are about 20 Postdocs and PhD research fellows in the group with financing from a variety of national and international
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ambient noise on acoustic performance. The major emphasis of these research activities is the development, evaluation, and application of advanced array-based sensing and signal processing
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, fluorescence) Computational skills for data analysis, signal processing, or simulation (Python, MATLAB ) Experience mentoring junior researchers Salary and Rank Special Instructions Applications
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. Where to apply E-mail [email protected] Requirements Skills/Qualifications The position is open to candidates holding a PhD in signal processing, applied mathematics, acoustics or a
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seismic datasets, including signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis
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months of planned secondments: 4 months at Earth Species Project: Develop AI pipeline for acoustic data processing 3 months at Kyoto University: Hypothesis testing with Okinawan data 2 months at Think
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hold a PhD in acoustics, mechanics, signal processing, instrumentation, computer science or a closely related discipline. Experience in NDT, SHM, data analysis, applied artificial intelligence or