Machine Learning Engineer for Biosignal Analysis

Vor 7 Tagen


Duisburg, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft Vollzeit

Fraunhofer-Gesellschaft is seeking a highly motivated Machine Learning Engineer to contribute to our cutting-edge research in biosignal analysis.

As part of our dedicated research and development team, you will play a crucial role in developing innovative solutions for the prediction of blood pulse waveforms using machine learning algorithms.

  • Your Responsibilities:
  • Gain a deep understanding of the anatomical and physiological principles underlying biosignals.
  • Design and implement robust software pipelines for preprocessing raw biosignal data.
  • Explore and implement various machine learning techniques to accurately predict continuous blood pulse waveforms.
  • Conduct thorough evaluations and comparisons of different machine learning approaches, culminating in a Master's thesis focused on this area.

Your Profile:

  • Hold a degree in Electrical Engineering, Computer Science, Medical Technology, or a related field.
  • Demonstrate excellent academic performance throughout your studies.
  • Possess strong programming skills in Python.
  • For this Master's thesis position, prior experience in the field of machine learning is highly desirable.

What We Offer:

At Fraunhofer-Gesellschaft, we are committed to pushing the boundaries of technological innovation and its practical applications. We foster a diverse and inclusive work environment that values the unique contributions of each individual. This position offers a challenging and rewarding opportunity to contribute to groundbreaking research in a dynamic and collaborative setting.



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