Audio analysis in the OR

Open position for master thesis / semester thesis

We invite applications for a thesis project focused on audio analysis in the operating room at the TUM Klink Rechts der Isar. Todays operating rooms are complex technical environments. More and more digital devices are being used to help the surgical team during their challenging tasks. This also includes robots, that interact directly with the patient or the staff. However, controlling each and every device individually is cumbersome and solutions for integrated system are yet to be developed. One option for an easy orchestration might be the use of speech commands. In order to create the operating room of the future, we are currently performing research on audio signal within the operating room. Depending on the type of thesis, the project includes the recording of audio samples, the preprocessing, analysis (i.a. using machine learning), evaluation and implementation of a real-time pipeline for application during real surgeries.

The ideal candidate will possess a foundation in Python programming and a keen interest in machine learning. Prior knowledge or experience in medical technologies and clinical environments is advantageous. This background will provide a valuable context for building an end-to-end audio analysis pipeline. Applicants are expected to demonstrate problem-solving skills and the ability to work independently.

Contact:
MITI Research Group
TUM Klinikum Rechts der Isar
Trogerstr. 10, 81675 München
jonas.fuchtmann(@)tum.de