Postdoc in Speech Intelligibility Enhancement Using Deep Neural Networks Aalborg University, Technical Faculty of IT and Design, Department of Electronic Systems

 

POSTDOC IN SPEECH INTELLIGIBILITY ENHANCEMENT USING DEEP NEURAL NETWORKS

 

At the Technical Faculty of IT and Design, Department of Electronic Systems, a position as postdoc in Speech Intelligibility Enhancement Using Deep Neural Networks is open for appointment from 1. June, 2018, 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 Millimetre-wave Systems section (APMS), Automation Control section (Control), Connectivity section (CNT), 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 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. 



You may obtain further information from Professor Jesper Jensen (phone: +45 3913 8981, email: jje@es.aau.dk) or Professor Søren Holdt Jensen (phone: +45 9940 8654, email: shj@es.aau.dk).

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.

 

The application must contain the following:

  • A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.

  • A current curriculum vitae.

  • Copies of relevant diplomas (Master of Science and PhD). On request you could be asked for an official English translation.

  • Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.

  • Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.

  • Additional qualifications in relation to the position. References/recommendations.

  • Personal data.

 

The applications are only to be submitted online by using the "Apply online" button below. An assessment committee will assess all candidates.

We wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

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

Information regarding guidelines, ministerial circular in force and procedures can be seen here.

 

AGREEMENT

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance's current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.   

 

VACANCY NUMBER

P21829

 

DEADLINE

29/04/2018

 


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