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Field
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health, comfort, and overall well-being. Goals and Tasks The goal of the PhD project is to develop the hardware and software components of a smart acoustic sensing platform capable of interpreting
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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conditions, changes appear years before clinical diagnosis. Can we learn to extract them reliably? We are looking for a PhD candidate to join the Acoustics group at the Department of Electronic Systems, NTNU
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unavailable or imprecise, either because the species is cryptic and hard to detect by visual monitoring or because current methods struggle to separate individuals from one another. Passive acoustic monitoring
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to undertake complementary, ambitious two-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and
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-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and uncertainty in the ocean environment affect
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infrastructure. The project: This predominantly experimental PhD will investigate how acoustic fields can control particle organisation and polymer crystallisation under increasingly realistic manufacturing
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disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real
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the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world
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criteria in order to be given further consideration as candidates: Education PhD in a relevant field of Engineering such as Acoustic, Architectural, Civil, Mechanical or Electrical. A Master’s degree in a