Job Description

University of Bern - Inselspital Bern, Visceral Surgery

Start: 01.03.2026

The employment is limited until 01.09.2026


We are seeking a motivated student to assist with our research on teamwork in the operating (OR), specifically on the detection of stress and emotional events during surgical procedures, based on video and audio recordings.



We are a multicisciplinary team consisting of work psychologists, surgeons, and data scientists. Your main work site will be the University Hospital Bern, department of visceral surgery.


Tasks
Preprocess and clean audio recordings (e.g., denoising, segmentation) Apply automatic speech recognition (ASR) and speaker diarization (e.g., Whisper) Extract acoustic features (e.g., pitch, MFCCs) and linguistic features from audio Develop and evaluate machine learning models for emotion and stress detection Visualization of results for publishing journals
Requirements


Technical Requirements:Solid programming skills in Python (e.g., numpy, pandas, scikit-learn) Basic experience with audio or speech processing (e.g., librosa, pyannotate) basic understanding of natural language processing (NL) (e.g., spaCy, stanza)


Personal Requirements:intrinsic motivation to work in a multidisciplinary project capacity to communicate with the research team
We offer


A diverse and engaging range of responsibilities Contribution to an innovative research project performed with data from real surgical operations Close cooperation with the research team Joint supervision from an interdisciplinary team (surgeons, psychologists, data scientists)
Application and Contact


For further information please contact Lilien Schewski.
Please send your application documents (CV, cover letter, and relevant certificates) to lilien.schewski@unibe.ch until January 24th.



www.karriere.unibe.ch
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