Master's thesis in the field of Medical Imaging and Digital Health

Be part of change

Modern AI systems in medicine increasingly rely on decentralized training paradigms such as federated or swarm learning. These promise privacy-preserving collaboration across hospitals but challenge current notions of transparency, auditability, and certification. While Model Cards and Data Cards are emerging as best practices, they are insufficient for complex, distributed AI services that evolve over time across multiple sites. Regulators, notified bodies and clinicians need new forms of monitoring and documentation that make such systems inspectable, trustworthy, and regulatory-ready.

This thesis explores the concept of Federated AI Service Cards:
How can we document, certify, and communicate decentralized medical AI systems in a way that satisfies regulatory requirements and builds trust among clinicians?

What you contribute

• A Bachelor’s degree (B. Sc.) in Computer Science, Software engineering or a related field), and current enrollment in a Master's program
• Interest in AI, data science, HCI and Digital Health
• Practical experience with python programming, image processing, agent-based systems
• Ideally, good communication skills in both German and English
• You are enthusiastic about learning new practical skills, approach unfamiliar topics with curiosity and quickly and independently delve into them through your analytical approach.

What we offer

• With our strong links to industry, you benefit from an environment where creative research freedom meets real-world application – with tangible societal impact. You actively contribute to shaping tomorrow’s medicine and gain insights into Europe’s leading organization for applied research.
• You will work as part of an international and interdisciplinary team, have access to state-of-the-art technologies and enjoy a high degree of creative freedom.
• You will gain valuable hands-on experience and prepare for future roles by learning relevant scientific methods and strengthening your skills in independently planning and conducting experiments.
• Throughout your time at Fraunhofer MEVIS, you will receive technically sound and collaborative supervision at eye level.

The duration of the thesis depends on the requirements of your university. Please note: We cannot offer financial compensation for thesis work. However, you can expect an exciting research topic and intensive scientific supervision.

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Ready for a change? Then apply now and make a difference! Please include a short letter of motivation with your application, explaining why you are interested in this topic for your thesis. Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
 

Do you have questions about the position or the application process? We’re here for you:

Dr. Henrik Detjen
Senior Scientist Human-Computer Interaction
henrik.detjen@mevis.fraunhofer.de

Cynthia Budnick

HR Resources Officer

Email: cynthia.budnick@mevis.fraunhofer.de 

Fraunhofer Institute for Digital Medicine MEVIS 

www.mevis.fraunhofer.de 

Requisition Number: 83355                Application Deadline: