A 4-year PhD position is available within a collaborative project between ESAT-STADIUS, Dept. Electrical Engineering and ExpORL, Dept. Neurosciences, KU Leuven, Belgium. The goal is to develop a neuro-steered hearing aid that will adapt its function according to brain responses measured using EEG. This position entails joint signal processing of EEG and audio signals.We are looking for someone with strong mathematical skills and some experience in algorithm design for multi-channel (array) signal processing (for EEG and/or audio).
The aim of this PhD project is to develop a novel ultrasound methodology that enables non-invasive read-out of the acoustic properties of radiation-sensitive microbubbles in order to construct a dose map. Hereto, acoustic models of wave propagation through soft tissue will be combined with advanced signal processing techniques. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).
In the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven, we are looking for a motivated Ph.D. candidate with an interest in array or multi-channel signal processing and applications thereof in electroencephalography (EEG).
Do you know how signal processing continues to improve wearable healthcare technology? Wearable sensor technology has improved substantially in recent years – and the personalized healthcare movement is reaping the benefits. Specifically, advancements in miniaturization, smart materials, low-power consumption and ruggedness have transformed ubiquitous monitoring. Monitoring vital ph... Signal Processing’s Impact on Wearable Technology in Healthcare Monitoring