AI-driven precision therapy in pediatric oncology

The Center for AI in Radiation Oncology (CAIRO) at the University of Bern is recruiting two fully funded PhD students to work on cutting-edge research in pediatric digital oncology. The projects focus on AI-driven precision therapy for pediatric brain tumors, specifically Diffuse Midline Glioma (DMG), and are supported by a Swiss National Science Foundation Starting Grant. Project 1 centers on predictive modeling for biomarker identification and in-silico therapy design, integrating multi-omics data and developing AI-based frameworks to predict drug response and recommend combination therapies. Project 2 aims to personalize radiotherapy planning and response prediction using computational models and AI-based image analysis, with a focus on improving survival and quality of life for children with DMG. The interdisciplinary team combines expertise in data science, medical physics, computational biology, and clinical oncology, and collaborates internationally. Applicants should have a Master's degree in a relevant field, strong programming and machine learning skills, and a passion for translational research in pediatric oncology. The positions offer full funding for 3.5–4 years, access to unique datasets, high-performance computing, and opportunities for teaching, mentoring, and conference participation. Applications are accepted until 30 November 2025 and should be sent as a single PDF to [email protected]. For more details, visit the provided links.