The Hearing Systems Section at the Technical University of Denmark (DTU) seeks a qualified candidate for a 3-year PhD position. Hearing Systems is part of the department of Health Technology. Our research is concerned with auditory signal processing and perception, speech communication, audiology, behavioural and objective measures of auditory function, computational auditory neuroscience, environmental acoustics, and hearing-instrument signal processing. The goal of this research is to understand the functioning of the human auditory system and to provide insights that are useful for technical applications, such as speech recognition systems, hearing aids, cochlear implants, and hearing diagnostics. The current project will explore listener behavior in environments with varying degrees of complexity and dynamics. Specifically, listeners will be monitored continuously using various sensors, such as motion and eye trackers, to record body and head-movement trajectories, as well as eye-gaze throughout the experimental tasks. The underlying hypothesis is that difficulties in analyzing and processing a scene will be reflected in the tracked measures and that comparing behavior across different scenes will help pinpoint which aspects of the scenes pose challenges for the listener. This will help to differentiate listener behavior and performance as a function of a given user’s ‘auditory profile’ and as a function of the scene complexity. Furthermore, this grouping and characterization will support the selection of appropriate ‘scene and profile aware’ compensation strategies tailored to the individual listener and scene. The project is part of the Centre for Applied Hearing Research (CAHR) supported by Oticon, WSA and GN Hearing. This PhD project represents one of three CAHR research streams with a variety of connection points which are intended to foster collaborations and common subprojects across the three research streams. Responsibilities and qualificationsYou will work with behavioural and physiological measures to evaluate the consequences of hearing loss on the processing of simple and complex sounds, including speech. You will work with computational models of auditory signal processing and perception. You will also explore effects of hearing-aid signal processing strategies on both behavioural and outcome measures and evoked potential patterns. You should be well-versed in some scientific programming environment (MATLAB, Octave, SciPy) and should have knowledge of signal processing and experimental design. You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.