Hybrid Working Student – Condition Monitoring, Embedded AI

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About the role

  • Research Assistant at Fraunhofer Institute developing AI solutions for embedded systems. Engaging in automation and practical industry application of computer vision and sensor data processing.

Responsibilities

  • Development of artificial intelligence (AI) for embedded systems.
  • Automation of a variety of use cases.
  • Develop solutions for industrial applications in computer vision, sensor data processing, and radio-based localization.
  • Research the latest methods in unsupervised machine learning for sensor data.
  • Investigate and compare approaches for implementing and optimizing AI.
  • Implement practical solutions for demonstrators on embedded hardware.
  • Prepare findings in engaging presentations for the team.

Requirements

  • You are enrolled in a Master’s program in Computer Science, Data Science, Electrical Engineering, or a related field.
  • Experience with the programming language Python and ideally C.
  • Some experience with machine learning and AI.
  • Interest in AI for embedded systems and the ability to further develop in this area.
  • Ability to apply theoretical knowledge in practice.

Benefits

  • Flexible working hours that fit perfectly with your studies.
  • Open and collegial working atmosphere where your ideas are valued.
  • Diverse tasks that inspire and challenge you.
  • Contribute to application-oriented research and put your theoretical knowledge into practice.
  • Work on exciting, forward-looking projects that make a real difference.

Job title

Working Student – Condition Monitoring, Embedded AI

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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