Four PhD research positions are available in the KU Leuven Electrical Engineering Department (ESAT), in the frame of the H2020 MSCA European Training Network “Service-Oriented Ubiquitous Network-Driven Sound (SOUNDS)” under the supervision of Prof. Toon van Waterschoot and Prof. Marc Moonen. The PhD students will be fully embedded in the SOUNDS research and training network, and will carry out applied research in the interdisciplinary field of signal processing, room acoustics, auditory perception, communication networks and machine learning. The research will be executed in an international team of audio signal processing researchers at the Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics of KU Leuven, and will involve several research visits to internationally renowned research labs in Europe. Initially a three-year MSCA Fellowship is offered, however it is anticipated that the position will be extended to a total of four years, which is the standard duration of a PhD research project at KU Leuven.
The following four PhD research topics are vacant:
(1) Active sound field and noise control in wireless acoustic transducer networks
(2) Distributed integrated acoustic echo and noise cancellation in smart home voice communication
(3) Estimation of nonstationary spatial noise maps for acoustic signal enhancement and detection
(4) Shared acoustic awareness and algorithm self-configuration in a cooperative audio signal processing context
THE “SOUNDS” PROJECT
The SOUNDS European Training Network (ETN) revolves around a new and promising paradigm coined as Service- Oriented, Ubiquitous, Network-Driven Sound. Inspired by the ubiquity of mobile and wearable devices capable of capturing, processing, and reproducing sound, the SOUNDS ETN aims to bring audio technology to a new level by exploiting network-enabled cooperation between devices. We envision the next generation of audio devices to be capable of providing enhanced hearing assistance, creating immersive audio experience, enabling advanced voice control and much more, by seamlessly exchanging signals and parameter settings, and spatially analyzing and reproducing sound jointly with other nearby audio devices and infrastructure. Moreover, such functionality should be self-organizing, flexible, and scalable, requiring minimal user interaction for adapting to changes in the environment or network. It is anticipated that this paradigm will eventually result in an entirely new way of designing and using audio technology, by considering audio as a service enabled through shared infrastructure, rather than as a device-specific functionality limited by the capabilities and constraints of a single user device.
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