Fraunhofer-Gesellschaft

Master's Thesis – Enhanced Reflective Pulse Oximetry, Hardware & Machine Learning

Fraunhofer-Gesellschaft

full-time

Posted on:

Location Type: Office

Location: München • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • Support the team in research and development.
  • Identify the main factors affecting the signal quality of reflective pulse oximeters.
  • Develop electronic hardware with various configurations of analog front ends, LEDs, and photodetectors.
  • Record and analyze datasets.
  • Select suitable algorithms for evaluating PPG signals (machine learning, Python).

Requirements

  • Enrolled in a university or college program in Electrical Engineering and Information Technology, Computer Science, or a related field.
  • Good knowledge of electronic hardware design and Python.
  • Independent and self-directed working style.
Benefits
  • Challenging and varied research assignment with responsibility and freedom to shape the work.
  • Insights into Munich’s start-up ecosystem.
  • Opportunity to make an impact and implement your ideas in projects.
  • Scientific, professional, and personal development.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
electronic hardware designanalog front endsLEDsphotodetectorsdata analysismachine learningPython
Soft skills
independent workingself-directed working