Research Associate "Individualized Signal Processing for Hearing Devices"

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Research Associate "Individualized Signal Processing for Hearing Devices"

Organization: 
University of Oldenburg - Dept. of Medical Physics and Acoustics
Country of Position: 
Germany
Contact Name: 
Prof. Dr. Simon Doclo
Subject Area: 
Speech and Language Processing
Machine Learning for Signal Processing
Audio and Acoustic Signal Processing
Start Date: 
09 February 2020
Expiration Date: 
08 March 2020
Position Description: 

The cluster of excellence Hearing4all (https://hearing4all.eu/EN/) at the Carl von Ossietzky Universität Oldenburg, Germany, is seeking to fill the position of a

Research Associate (m/f/d)

in the Signal Processing Group (https://uol.de/en/mediphysics-acoustics/sigproc) at the Department of Medical Physics and Acoustics.

The position is available from May 1, 2020 until October 31, 2022, with a possible extension for 3 years. Salary will be according to TV-L E13 (100 %). The position is suitable for part-time work.

In the framework of the cluster of excellence Hearing4all the successful candidate is expected to contribute to the research goals of Research Thread II "IT-based diagnostics and rehabilitation" by developing and evaluating individualized signal processing solutions for virtual and real hearing devices. More in particular, in the envisaged project the main objective is to automatically optimize the parameter settings of acoustical signal processing algorithms for the individual user based on machine learning.

Candidates are required to have an academic university degree (Master or equivalent) in hearing technology and audiology, electrical engineering, physics or a related discipline, and have shown their ability to perform excellent scientific work, typically demonstrated by the outstanding quality of their doctoral thesis and an excellent publication record. We are seeking candidates with extensive knowledge in at least two of the following research fields: speech/audio signal processing, machine learning and auditory perception. In particular, for the envisaged project experience with hearing aid algorithms is beneficial. Excellent programming (e.g. Matlab, python), English language skills and experience with subjective listening experiments are mandatory.

The Carl von Ossietzky Universität Oldenburg is dedicated to increasing the percentage of women in science. Therefore, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification.

Please send your application (ref. SP194) including a letter of motivation, curriculum vitae, list of publications and a copy of the university diplomas and grades to Carl von Ossietzky Universität Oldenburg, Fakultät VI, Abt. Signalverarbeitung, Prof. Dr. Simon Doclo, 26111 Oldenburg, Germany, or electronically to simon.doclo@uni-oldenburg.de. Application by email is preferred.

The application deadline is 07.03.2020.

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting… https://t.co/NLH2u19a3y
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in… https://t.co/V6Z3wKGK1O
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat… https://t.co/0aYPMDSWDj
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special… https://t.co/NPCGrSjQbh
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:… https://t.co/4xal7voFER

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel