PhD Researcher in Sleep Apnea Assessment from ECG

3 weken geleden


Eindhoven, Noord-Brabant, Nederland TU Eindhoven Voltijd
Job Description

Are you passionate about signal processing and deep learning for medical applications? This project aims to develop and validate new algorithms to assess sleep disordered breathing conditions using Holter ECG recordings.

The goal is to improve the diagnostic performance of ECG-based algorithms for sleep apnea detection, extending their capabilities to ensure robustness in the presence of arrhythmias and distinguishing between obstructive and central apnea.

Key responsibilities include:

  • Developing and optimizing ECG-based algorithms for sleep apnea detection
  • Validating the algorithms using large clinical datasets
  • Translating the algorithms to the Philips Holter recording device
  • Investigating the relationship between cardiac conditions and sleep apnea

Requirements:

  • Master's Degree in Computer Science, Electrical or Biomedical Engineering or equivalent
  • Research-oriented attitude with a pro-active mindset
  • Ability to interact in a multidisciplinary team
  • Fluent in spoken and written English (C1 level)
  • Strong experience in deep learning and Python programming

We offer a meaningful job in a dynamic and ambitious university, with a competitive salary and benefits package.

Join our team of experts in advanced sleep monitoring and contribute to the development of innovative solutions for sleep apnea detection.



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