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PhD scholarship in Computational Science – Hearing Diagnostics and Compensation

Technical University of Denmark (DTU)

Denmark

Apply Before the Deadline

Nov 1, 2021 23:59 (GMT +2)

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The Hearing Systems Section at the Technical University of Denmark (DTU) seeks a qualified candidate for a 3-year PhD position at the  Department of Health Technology (DTU Health Tech) – Denmark, Nov 2021.

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General Info

Position: PhD
No. of Positions: 1
Research Field:
Deadline to Apply: November 1, 2021(GMT +2)
Joining Date: -
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
Hearing Systems Section
Department of Health Technology (DTU Health Tech)
Technical University of Denmark (DTU)
Lyngby,

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Qualification Details

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.

Responsibilities/Job Description

You will work with deep neural networks and computational auditory models to understand the how simulated damages in the auditory system can be detected and compensated. You will develop a computational framework to predict different types of hearing loss and their consequences in the auditory system. You will explore signal processing strategies to analyse, discriminate, and compensate for different types of hearing loss.The candidate should be very well-versed in computational methods in deep learning and associated programming frameworks (e.g. PyTorch, Tensorflow) on GPUs, and should have knowledge of auditory signal processing and peripheral auditory models.The project is part of the Centre of Excellence for Hearing and Speech Sciences and supported by the William Demant foundation. Part of the work will be conducted in collaboration with the hearing-aid company Oticon.  

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

You may apply prior to obtaining your master's degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

About the Project

The current project combines deep learning with computational models of the auditory system. The project will develop generative neural networks to synthesize sound stimuli that create informative activations in computational simulations of the inner ear and auditory nerve. Specifically, the framework will be used to explore sound stimulus transformations that can discriminate different types of damage in the peripheral auditory system. The models will be used to generate stimuli that can be used for diagnosis or compensation of specific types of hearing loss. The project will evaluate the developed models with critical electrophysiological or psychophysical tasks. The results will contribute to a better classification of different types of hearing loss, better tools for diagnosis, and new signal processing strategies for hearing aids.

About the Employer: Technical University of Denmark (DTU)

Note or Other details

The assessment of the applicants will be made by Senior Researcher Jens Hjortkjær and Professor Torsten Dau.

You can read more about DTU Health Tech at www.healthtech.dtu.dk/english.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

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Contact details

Further information may be obtained from Jens Hjortkjær, jhjort@dtu.dk or Torsten Dau, tdau@dtu.dk.

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