Dear List,
We offer a position at the level of an assistant or associate professor within the area of multi-sensory speech perception or multi-sensory signal processing for hearing technology.
This is a position at the Hearing Systems Section at the Department of Health Technology at DTU, the Technical University of Denmark. The multi-disciplinary research conducted by the Hearing Systems Section is done in collaboration with
several European networks, Danish hospitals, and with industry. The goal of the research is to increase our understanding of how the human auditory system functions and to provide insights that are useful for technical applications, such as hearing aids, speech
recognition systems, hearing diagnostics, cochlear implants and virtual reality applications. Specifically, the research field of the position will be focused on exploring people’s speech communication challenges in adverse acoustic conditions with multiple
interfering sources, as well novel strategies of intervention for people with hearing loss. The research will be connected to the activities at the Centre for Applied Hearing Research (CAHR), thereby giving unique opportunities for collaboration with the hearing-aid
industry.
The candidate will contribute to teaching activities in the group, mostly at MSc level and focus on the international MSc program ‘Engineering Acoustics’ that is offered jointly with the Acoustic Technology Section at the Department of Electrical Engineering.
Candidates must be able to demonstrate a solid scientific knowledge and research experience in at least one of the following areas:
• Multi-sensory (e.g., audio-visual) speech perception and recognition in complex acoustic environments, including, but not limited to, communication and interaction in dynamic scenes; sensor-based measures of listener behavior;
impact of hearing loss and aided hearing; and perception in virtual/augmented reality.
• Multi-sensory signal processing for hearing technology, including, but not limited to, computational multi-sensory learning, artificial-intelligence-based signal processing, multi-sensory human-computer interfaces; audio-visual
speech enhancement; and audio-visual scene analysis.
For more information and to apply, please follow this link:
Best regards,
Torsten
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