Master's thesis in the field of Medical Imaging and Digital Health
Bremen, Bremen, Germany · On-site
Entry level
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Skills: Medical Imaging, Digital Health, Federated Learning, Swarm Learning, AI Documentation
Working Student (d/f/m) within Future Projects - Tool Development
Bremen, Bremen, Germany · On-site
Entry level
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Senior
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Duales Studium Bachelor of Science Informatik Software- und Systemtechnik (d/m/w) bei Airbus Defence & Space zum 01.10.2027
Bremen, Bremen, Germany · On-site
Entry level
Job Description: Duales Studium Bachelor of Science Informatik Software- und Systemtechnik (d/m/w) bei Airbus Defence & Space zum 01.10.2027 🚀 Ready to shape the future? 🚀 Raketen und Satelliten faszinieren dich und du…
Skills: Software Engineering, System Analysis, Big Data, Internet of Things, IT Security
Master's thesis in the field of Medical Imaging and Digital Health
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Internship
postgraduate degree
Posted 28d ago
~40 hrs/week
Responsibilities
The candidate will explore the concept of Federated AI Service Cards to document and certify decentralized medical AI systems. The goal is to ensure these systems satisfy regulatory requirements and build trust among clinicians.
Requirements
The position requires a student pursuing a Master's thesis in Medical Imaging or Digital Health. Candidates should have an interest in decentralized AI training paradigms and regulatory frameworks for medical software.
Full job description
The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to conduct patient-centric research and development to improve clinical processes for the benefit of our clinical partners and, in the end, patients.
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?
Related keywords
Medical ImagingDigital HealthFederated LearningSwarm LearningAI Service CardsModel CardsData CardsRegulatory ComplianceMedical AIDecentralized TrainingPrivacy-Preserving AIClinical ProcessesFraunhofer MEVIS
Komplexe Datenvisualisierung? Wir machen's einfach! Wir setzen seit über 30 Jahren Standards im Visual Computing.
Industry
Research Services
Company size
51-200 employees
Founded
1988
Headquarters
Darmstadt
LinkedIn followers
6,076
Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality.
In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created.
Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient.
Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.
Offices: Fraunhoferstrasse 5, Darmstadt, 64283, DE · Joachim-Jungius-Straße 11, Rostock, Mecklenburg-Vorpommern 18059, DE · Inffeldgasse 16c, Graz, 8010, AT
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