Student Assistant (m/f/d) Data Science AI for Health
Student Assistant (m/f/d) Data Science AI for Health
Student Assistant (m/f/d) Data Science AI for Health
Student Assistant (m/f/d) Data Science AI for Health
Mobile and Distributed Systems Group Department of Computer Science
Internet, IT
München
- Art der Anstellung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Student Assistant (m/f/d) Data Science AI for Health
Über diesen Job
Student Assistant (m/f/d) Data Science AI for Health
Open position
Job description
Our renowned chair is currently establishing a new research unit called "AI for Health." To support our research projects, we are looking for motivated student assistants with a strong interest in data science and Python-based data analysis. If you enjoy working with data, analyzing complex problems, and want to make a real contribution to health research, we look forward to receiving your application.
| Weekly hours |
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Your responsibilities
- Participation in data analysis and preparation in the context of health-related research projects
- Development of analysis pipelines and prototypes in Python (e.g., with Pandas, NumPy, Scikit-Learn, PyTorch)
- Visualization of data and results (e.g., with Matplotlib, Seaborn, or Plotly)
- Support in the development of tools for data processing and evaluation
- Collaboration in the documentation and testing of analysis components
Your profile
- Good knowledge of Python and interest in data science topics
- Initial experience with data analysis, machine learning, or AI is an advantage
- Structured approach to work and willingness to familiarize yourself with new topics
- Team spirit and initiative
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Interest in the application of data-driven methods in a healthcare context
What you can expect
- Responsible work in an international research environment
- Flexible weekly working hours
- Workplace in a central, attractive location near the English Garden in Munich
- Good training and open communication
Contact
We look forward to receiving your detailed application, including a cover letter, resume, and references. Please send these preferably in a single PDF document (max. 5 MB) by email to: jobs@mobile.ifi.lmu.de . The application period is open immediately and will remain open until the positions are filled.
