PhD Candidate Deepfakes in Radiology
PhD Candidate Deepfakes in Radiology
Salaris
Zoals vermeld in de vacature
Over de functie
Artificial intelligence is increasingly used in medical imaging, but the evidence required to demonstrate that these systems are safe and reliable is still evolving. In this PhD project, you will investigate when and how synthetic medical imaging data can be used as evidence in the development and regulatory evaluation of medical device AI. The project is part of COMPASS4MD, a Horizon Europe consortium developing new methodologies for evaluating clinical evidence for medical devices.
Your work will combine technical evaluation of synthetic imaging data with regulatory science and research methodology. You will study how synthetic imaging data are currently used in research and regulatory submissions, experimentally assess their quality and fitness for different purposes, and translate these findings into evidence requirements for regulatory use.
Wat ga je doen?
- Analyze medical imaging datasets and evaluate synthetic image generation methods.
- Conduct a structured review of the scientific and regulatory landscape.
- Interview stakeholders including regulators, notified bodies and AI developers.
- Contribute to a multi-round Delphi study to develop minimum evidence standards.
Wat vragen wij?
- An MSc degree in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, Technical Medicine, Medical Image Analysis, Medical Informatics, or a closely related discipline.
- Experience with Python and machine learning, preferably applied to medical imaging or computer vision.
- Strong organisational skills and the ability to communicate with technical, clinical, and regulatory stakeholders.
- Working proficiency in English (C1–C2).
Solliciteer direct via de knop hieronder en draag bij aan de toekomst van medische AI-regulering!
Belangrijkste verantwoordelijkheden
Analyze medical imaging datasets and evaluate synthetic image generation methods
Conduct a structured review of the scientific and regulatory landscape
Interview stakeholders including regulators, notified bodies and AI developers
Contribute to a multi-round Delphi study to develop minimum evidence standards
Vereisten
MSc degree in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, Technical Medicine, Medical Image Analysis, Medical Informatics or related discipline
Experience with Python and machine learning
Critical understanding of AI model development and evaluation
Working proficiency in English (C1-C2)
Secundaire arbeidsvoorwaarden
- Extra beloning (bijv. 13e maand, vaste eindejaarsuitkering)
- Pensioen
- Reiskostenvergoeding
Bron: de openbare vacature van Radboudumc op werkenbijradboudumc.nl. Wij zetten vacatures om in een overzichtelijke samenvatting, met hulp van AI. Bij verschillen is de originele vacature leidend.
Werken bij Radboudumc valt onder de CAO UMC
In de CAO UMC staan de afspraken over je salaris, loonsverhogingen, werktijden, vakantie en pensioen. Voor sommige hogere functies gelden aparte afspraken. Wat er voor deze functie geldt, lees je in de vacature.
Over Radboudumc
Radboudumc is een universitair medisch centrum in Nijmegen met patiëntenzorg, onderwijs en onderzoek onder één dak.
Vacatures liggen op het gebied van verpleging en verzorging, medisch specialisme, onderzoek en ondersteuning, onder de CAO UMC.