Post-Doctoral Researcher: Bio-inspired Machine Hearing (18997) - Information technology
Ghent University
Ghent, Belgium  
13 uur geleden
source : Academic Media Group International AB

Apply before 27 / 06 / 2021 23 : 59 (Brussels Time)

Faculty of Engineering and Architecture

Department : EA05 - Informatietechnologie

Occupancy rate : 100%

Number of positions : 1.00

Type of employment : Contract of unlimited duration with clause

Term of assignment : 3 jaar

Wage scale : PD1 to PD4 (doctoral degree)

Required diploma : PhD

ABOUT GHENT UNIVERSITY

Ghent University (BE) is a world of its own. Employing more than 8,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis.

It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

The Hearing Technology lab of Prof. Verhulst at WAVES (Dept. of Information Technology) offers an interdisciplinary research environment, support with future career steps, and has access to world-class research facilities, including GPU computation clusters, psychoacoustics and auditory physiology setups (waves.

intec.ugent.be / hearing-technology, github / hearing-technology, HearingTechLab). The lab routinely collaborates with other research groups within the Department, as well as with the UZGent hospital through the Ghent Auditory Science Platform (gasp.

ugent.be). Ghent is a lively city in the heart of Europe with a vibrant restaurant / party / music culture.

YOUR TASKS

The Hearing Technology Lab at Ghent University (BE) is presently seeking to fill a vacancy for a Post-Doctoral Researcher related to the FWO project Machine-Hearing 2.

0 : Biophysically-inspired auditory signal processing for machine-hearing applications . The project takes a hybrid, computational neuroscience & machine-learning approach to incorporate the remarkable properties of our human hearing capabilities into the next generation of automatic applications for assisted hearing, speech recognition & sound localization.

You will be part of an international team of researchers (engineers, audiologists) to develop new technologies on the interface between computational neuroscience and machine-learning for audio signal processing.

Furthermore, it is expected that you test the performance of these new machine-hearing system against state-of-the-art systems in scientific challenges as well as in sound perception experiments with study participants.

Lastly, it is expected that you contribute to open-science by publishing code repositories. At least 70% of your assignment will be spent on academic research.

WHO WE ARE LOOKING FOR

  • You hold a thesis-based doctorate (obtained max. 6 years ago. This term of 6 years is determined by the date written on the above-mentioned required diploma).
  • The domain of your PhD should be in Engineering (Information Technology, Acoustical, Biomedical), Engineering Physics or Mathematics with a topic related to audio signal processing, machine hearing or machine-learning in neuroscience.
  • Advanced programming skills and digital signal processing knowledge are required and demonstrated experience with designing, training and evaluating machine-learning systems (beyond classification) is a must.
  • Excellent written and oral English skills are required, as evidenced by prior peer-reviewed publications and conference presentations.
  • This position is ideal for people with an audio signal processing background who are interested in exploring the power of auditory neuroscience methods in developing brain-inspired audio technologies.
  • WHAT WE CAN OFFER YOU

  • We offer you a contract of indefinite duration with a maximum term of 3 years.
  • Your contract will start on August 1st 2021 at the earliest.
  • Your remuneration will be determined by salary scale PD1 (https : / / www.ugent.be / en / work / talent / welcoming-new-staff / salaryscales / wpwm.htm).
  • All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 35 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, a bicycle allowance and eco vouchers.
  • More information : https : / / www.ugent.be / en / work / talent / welcoming-new-staff

    INTERESTED?

    Apply online through the e-recruitment system before the application deadline (see above). We do not accept late applications or applications that are not submitted through the online system.

    Your application must include the following documents :

  • In the field CV’ : your CV and an overview of your study results (merged into one pdf file)
  • In the field Cover letter’ : your application letter in pdf format
  • In the field Diploma’ : a transcript of the required degree (if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages.
  • In the field other documents : Upload a document with the name and contact details of two persons who are willing to provide a reference.
  • A link to the PhD dissertation and / or published research papers should be provided (e.g. ORCID, google scholar profile).

    Note that the maximum file size for each field is 10 MB.

    As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.

    MORE INFORMATION

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