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- AALTO UNIVERSITY
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. Develop and validate models for the acoustic scattering properties of mixed-composition seafloors. Use acoustic scattering models to identify signal processing strategies for seabed characterization
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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. Interface with other staff working in related areas including vibroacoustic signal analysis, signal processing, optical fiber sensing, and general instrumentation. Document results in technical reports
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learning and deep learning. Specific Requirements PhD in acoustics. Knowledge of acoustical measurement techniques, as well as physical acoustics. Some experience in acoustic signal processing and machine
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generated content is mixed with other audio sources. Studying robustness against signal-processing attacks, generative resynthesis attacks, adversarial attacks, and realistic downstream processing such as
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deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake detection, and watermarking. In addition to the Aalto speech groups and the Doctoral Researcher
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acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools