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Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

Technische Universität München

Fach- und Hochschulen

München

  • Art der Beschäftigung: Vollzeit
  • Vor Ort
  • Aktiv auf der Suche

Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

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Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

28.01.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Student Assistant (HiWi) in Optimisation & Machine Learning for Brain Activity Monitoring

Student Assistant (HiWi)

At the Chair for AI in Healthcare and Medicine, we are currently recruiting a HiWi student to work on an EIC Pathfinder Project ( HyperProbe ) focusing on the development of new hyperspectral technology for monitoring brain activity. As we approach the final stage of the project, your work will contribute directly to a real device prototype scheduled for clinical trials in the coming year.

Your Tasks

  • Develop further algorithmic approaches (based on standard optimisation and physics-informed machine learning) for processing hyperspectral data of brain activity.
  • Implement the algorithms in an efficient, clean manner.
  • Contribute to a high-impact project and be employed for a duration of at least 1 year, with the possibility of extension.

Your Qualifications

  • Student in Computational Sciences, Informatics, Mechanical Engineering, Physics, or Mathematics .
  • Extensive programming experience with Python and/or ML frameworks (e.g., PyTorch).
  • Strong analytical and problem-solving skills with a clear affinity for math of optimisation problems.
  • Excellent communication skills and an interest in interdisciplinary work.

Interested? Please send your CV and transcript to: ivan.ezhov@tum.de

Kontakt: ivan.ezhov@tum.de

Unternehmens-Details

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Technische Universität München

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

München, Deutschland

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