Postdoc in Speech Intelligibility Enhancement Using Deep Neural Networks

Aalborg University - Department of Electronic Systems, Signal and Information Processing Section

At the Technical Faculty of IT and Design, Department of Electronic Systems, Signal and Information Processing Section, a position as postdoc in Speech Intelligibility Enhancement Using Deep Neural Networks is open for appointment from 1. December, 2017, or as soon as possible thereafter. The fully funded position is available for a period of three years.

The Department of Electronic Systems is one of the largest departments at Aalborg University with a total of more than 250 employees. The department is internationally recognized in particular for its contributions within Information and Communication Technology (ICT). The research and teaching of the Department of Electronic Systems focus on electronic engineering and the activity areas are organized in the sections: Antennas, Propagation and Radio Networking section (APNet), Automation Control section (Control), Signal and Information Processing section (SIP), Wireless Communication Networks section (WCN) and Communication, Media and Information technologies (CMI).

The department focuses on maintaining a close interplay with the university’s surroundings - locally, nationally and internationally – as well as producing unique basic research and educating talented and creative engineers. The department collaborates with leading ICT researchers all over the world.

Job description
Hearing assistive devices, such as headsets for speech communication in noisy environments and hearing aid systems, aim at improving the speech intelligibility (SI) for the user. To do so, the hearing assistive devices process the acoustic signals, before they are presented to the ears of the user. This postdoc project is part of a research project on Intelligibility-Aware Hearing Assistive Devices.

The goal of the postdoc project is to develop deep-learning algorithms, which are capable of improving the SI for binaural acoustic situations for normal hearing and for hearing impaired listeners. We envision deep-learning algorithms which employ a model-based approach, i.e., algorithms which utilize (or are inspired by) auditory models or models of intelligibility.

The project will take place at the Section for Signal and Information Processing (SIP), Department of Electronic Systems, Aalborg University. The SIP section conducts research in areas such as communication technology, human perception (audio, vision), signal processing for multimedia technology, etc. The section also hosts the newly founded Centre for Acoustic Signal Processing Research (CASPR), which focuses on research and education supporting future statistical signal processing concepts for hearing assistive devices.

The successful candidate holds a PhD within a field related to speech signal processing, machine learning, signal processing, information theory, or similar. Knowledge of auditory perception, hearing aid technology, etc., is an advantage. An excellent research track record is expected.

See what the application must contain at

You may obtain further information from Professor Jesper Jensen (phone: +45 3913 8981, email: or Professor Søren Holdt Jensen (phone: +45 9940 8654, email:
Qualification requirements: 
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

An assessment committee will assess all candidates.

For further information concerning the application procedure please contact Anne Christoffersen by mail or phone (+45) 9940 9680.

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