This PhD opportunity at the Belgian Nuclear Research Centre (SCK CEN) in collaboration with the University of Antwerp focuses on developing next-generation, real-time radiotherapy safety systems. The project aims to combine high-speed scintillation imaging with predictive artificial intelligence and deep learning to create experimental digital twins of radiation delivery. These systems will monitor, model, and autonomously prevent treatment anomalies, moving beyond traditional post-treatment checks to real-time prediction and prevention of errors during radiotherapy.

The research is highly interdisciplinary, integrating radiation physics, advanced AI modeling, fast imaging systems, and close collaboration with medical physicists and clinicians. The candidate will build upon an existing prototype that monitors radiation beams in real time, learns from data how the dose evolves, and reacts autonomously to protect patients from anomalies. The work involves experimental physics, AI, and clinical translation, offering a unique opportunity to contribute to safer, adaptive cancer treatment.

Applicants should have a Master’s degree in sciences or engineering, with backgrounds in physics, engineering, computational physics, or medical physics. Preference is given to candidates with distinction in their final Master year, and the degree should have been awarded within the last five years. Two reference letters are required, including one from the Master thesis supervisor unless they are also the PhD promotor. The application process is online, and candidates must contact the SCK CEN mentor before applying. The project is supervised by Luana de Freitas Nascimento (SCK CEN), Dirk Verellen, and Steve Vanlanduit (University of Antwerp).

The application deadline is March 31, 2026. For more information and to apply, visit the SCK CEN website or contact the mentor directly. This position is ideal for motivated students interested in radiation physics, artificial intelligence, medical technology, and clinical safety systems.