Research Assistant

For the **Institute of Digital Medicine**, in the field of **Data Management and Clinical Decision** Support, we are looking for the next possible date for a research assistant (M/F/d) / PhD student (M/F/d). This employment is initially limited until 31 January 2026.

Your tasks
- Evaluation of concepts, architectures and frameworks for federated learning and secure multi-party computation
- Development and establishment of the corresponding infrastructures
- Collaborative implementation of local machine learning methods in distributed environments in critical care

**Profile**:

- Master's degree in a data-driven or medical field of study such as medical|bio informatics, physics, geography, public health, medicine
- Knowledge and practical experience in
- Machine Learning / Deep Learning
- Common scripting languages for data analysis (R or Python)
- Container solutions and microservices
- Data integration
- High motivation and ability to solve problems independently

**Offer**:

- Versatile, interesting and richly varied field of activity in a young, cooperative and committed team
- Interdisciplinary scientific work
- Compensation as PhD student with 65% EG 13 according to the TVöD/TV-L, depending on qualifications and professional experience, including the usual social benefits in the public sector (company pension plan, annual special payment)
- Flexibility in work schedule and possibility of mobile working
- Advice and information services offered by the family office on the compatibility of family and career
- Support for personal and professional development through individual development and training opportunities in our own academy
- Attractive offers as part of company health management, such as yoga classes, fitness programs and Employee discounts in various companies

Additional information
The position is suitable for occupation by severely disabled persons. Applicants (M/F/d) with severe disabilities will be given preference in the case of essentially equal suitability, ability and professional performance. Augsburg University Hospital promotes professional equality between women and men. Before taking up employment at Augsburg University Hospital, proof of sufficient vaccination protection or immunity against measles must be provided in accordance with -- 23, 23a IfSG.

Do you have any questions about the advertised position?
You may contact **Prof. Dr. Hinske and Dr. Mathias Kaspar** under the telephone numbers 0821/400-9521 and 0821/400-9523.

Application deadline

We look forward to hearing from you