Student Assistant (HiWi) – Scientific Software Development for ECG Analysis Tool

22.06.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

You will contribute to software development, user-interface improvements, and machine-learning integration while working closely with physiology and AI researchers.

Your profile

- Currently enrolled as a Bachelor’s or Master’s student in Computer Science, Data Science, Biomedical Engineering, Bioinformatics, or a related field

- Good programming skills in Python

- Experience with software development and version control systems (e.g., Git)

- Experience with desktop GUI development (PyQt/PySide or similar) is a plus

- Interest in machine learning and signal processing

- Comfortable collaborating with domain experts and translating requirements into software solutions

- Experience with physiological signal analysis (e.g., ECG) is advantageous

Your tasks

- Familiarize yourself with the software and its codebase

- Develop and maintain a Python-based analysis tool

- Improve software usability, functionality, and performance

- Implement and test new features for ECG annotation and arrhythmia analysis

- Support the integration of machine-learning models

What we offer

- Competitive student salary

- Flexible working hours (8-20 hours per week)

- Opportunity to contribute to an open-source scientific software project

- Exposure to interdisciplinary research at the interface of AI, software engineering, and cardiovascular physiology

Application process

Please send your CV and a link to a code repository (e.g., GitHub, GitLab, etc.) to marcella.astrid@helmholtz-munich.de.

Kontakt: marcella.astrid@helmholtz-munich.de