PhD in Radiation Physics, Artificial Intelligence, and Medical Technology for Real-Time Radiotherapy Safety Belgian Nuclear Research Centre in Belgium

This PhD opportunity at the Belgian Nuclear Research Centre (SCK CEN) in Mol, Belgium, in collaboration with the University of Antwerp, focuses on developing next-generation intelligent safety systems for radiotherapy. The project integrates radiation physics, artificial intelligence, and medical technology to create real-time monitoring and predictive systems for radiation protection during cancer treatment. The research aims to move beyond traditional post-treatment checks by using high-speed scintillation imaging and advanced AI modeling to predict and prevent errors during radiotherapy delivery, enhancing patient safety and treatment outcomes.

The doctoral candidate will work on experimental physics, fast imaging systems, radiation detectors, and deep-learning architectures capable of real-time operation. The project involves close collaboration with medical physicists and clinicians to ensure the developed system can be integrated into clinical workflows. The research is highly interdisciplinary, combining expertise in medical physics, engineering, and computer science, and offers a unique opportunity to contribute to the future of adaptive, safer cancer treatments.

Applicants should have a Master’s degree (or equivalent) in sciences or engineering, with a background in medical physics, physics, engineering, or closely related fields. Strong preference is given to candidates with distinction in their final Master year. The application process requires contacting the SCK CEN mentor before applying, submitting an academic CV, motivation letter, supporting documents, and two reference letters. The position is fully funded for four years, though specific stipend and tuition details are not provided. The application deadline is 31 March 2026, with interviews and final decisions following in May and June 2026. The standard start date is 1 October 2026.

For more information and to apply, visit the SCK CEN website or contact the listed supervisors. This project is ideal for candidates passionate about radiation physics, AI, and medical technology, seeking to make a tangible impact on clinical radiotherapy safety and innovation.