PhD Candidate 'AI-Driven Handheld Ultrasound for Military Trauma Care'

This PhD project in the Medical Ultrasound Imaging Center (MUSIC) of the Department of Medical Imaging at Radboud university medical center investigates how artificial intelligence can help military healthcare providers acquire and interpret handheld ultrasound images in operational settings where specialist expertise and evacuation may be limited. Starting from existing AI-assisted ultrasound technologies and applications such as Extended Focused Assessment with Sonography in Trauma (EFAST) for detecting internal bleeding and pneumothorax, the project identifies unmet operational needs, develops and evaluates AI algorithms, and studies how they can be integrated into military medical practice, with potential benefits for civilian emergency care.

Applications close on 24 November 2026.

Master's degree in artificial intelligence, computer science, biomedical engineering, technical medicine or a related field; experience with deep learning and programming in Python or a comparable language; affinity with medical (ultrasound) imaging and image analysis; interest in military healthcare. The position requires a Certificate of Conduct (VOG).