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EEG-based measures of hearing based on deep learning Leuven Belgium,  

KU Leuven (company)

Posted on : 10 February 2017

Project Description

  • You will conduct your own research project, collaborating with PhD and postdoctoral researchers. 
  • The required EEG and behavioral data is readily available for analysis, and new data can be collected if required.
  • You are responsible for developing and evaluating deep learning methods to the problem on hand. 
  • Particular challenges will be the noisy nature of EEG data and modeling its temporal structure.

  • A PhD on a related topic (machine learning, applied deep learning)
  • Preferably at least one publication in an international peer-reviewed journal or high quality conference as the first author
  • A strong background in deep learning (and related techniques)
  • Some background in (EEG) signal processing
  • Willingness to work in an interdisciplinary team
  • An interest in auditory perception 
  • An inquisitive and creative mind, good problem solving skills
  • Excellent English proficiency 
  • Knowledge of auditory neuroscience and psychology of hearing is a benefit

  •  Exciting auditory research 
  •  Membership of a world-renowned lab, as part of a motivated interdisciplinary team, with an extensive international network
  •  Membership of our university, one of the largest research universities of Europe
  •  The possibility to take part in international conferences and collaborations
  • A competitive salary


3000 Leuven Belgium

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