FDA Interventional Radiological Imaging and Visualization (IRIS) Fellowship U.S. Food and Drug Administration (FDA) in United States

The FDA Interventional Radiological Imaging and Visualization (IRIS) Fellowship is based in the Center for Devices and Radiological Health at the U.S. Food and Drug Administration in White Oak, Maryland. The project sits at the intersection of medical device regulation and emerging imaging technologies, with a focus on interventional and autonomous systems, extended reality, and novel imaging validation methods. As part of this fellowship, the participant will contribute to an integrated regulat...

This research opportunity is based within the Center for Devices and Radiological Health (CDRH) at the U.S. Food and Drug Administration , where the participant will contribute to regulatory science work supporting the review of medical devices in the United States. The project centers on energy-based surgical devices (EBSDs) and the development of a centralized, queryable library of device parameters indexed by indications for use. The participant will systematically identify, extract, and orga...

Multiple postdoctoral researcher positions are available through a collaborative appointment between Massachusetts Institute of Technology (MIT) and Harvard Medical School in the USA. The research areas include multiscale cardiovascular modeling , computational physiology , mathematical modeling , medical image processing and analysis , patient-specific cardiovascular simulations , and digital twins . This is a strong fit for candidates with backgrounds in biomedical engineering , mechanical eng...

Fully funded PhD positions in Medical Imaging AI at the University of Arizona Tushar Lab at the University of Arizona is recruiting 1–2 fully funded PhD students to start in Fall 2027 . The students will pursue a PhD in Electrical & Computer Engineering through the School of Electrical, Computing, and Software Engineering (ECSE), with close collaboration with the Department of Radiology and Imaging Sciences . Research areas include trustworthy medical AI, evaluation and reproducibility of medica...

This fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health places participants in a regulatory science research environment focused on artificial intelligence and machine learning for medical devices. The project addresses the safety and effectiveness of AI/ML-enabled devices across healthcare uses such as image processing, disease detection, diagnosis, and therapeutic monitoring. Working under FDA mentorship, the fellow will engage with research challe...