Postdoc – Artificial Intelligence and Robust Optimization in Radiotherapy

Scope of duties

In a multi-institutional research project funded by the German Federal Ministry of Research, Technology and Space, a Postdoc position investigating the use of uncertainty-aware AI models for auto-segmentation and dose accumulation in radiotherapy treatment planning is open at the Department of Radiation Oncology of the LMU Munich University Hospital (PD Christopher Kurz & Prof. Guillaume Landry) from February 2026. The candidate will collaborate with our project partners at the Fraunhofer Institute for Industrial Mathematics (ITWM) Kaiserslautern (Prof. Karl-Heinz Küfer) and the LMU Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence (Prof. Gitta Kutyniok).

The project will employ state-of-the-art AI models for auto-segmentation and deformable image registration in the scope of MRI-guided adaptive radiotherapy. Focus will be set on uncertainty estimation by these models and their integration into robust radiotherapy treatment planning.

The candidate is expected to :

• Develop AI models for organ-at-risk and tumor segmentation including estimation of their epistemic and aleatoric uncertainties
• Apply AI-based deformable image registration models for uncertainty-aware dose accumulation
• Evaluate robust treatment planning approaches in close-to-clinics scenarios

Our requirements

Highly ranked PhD in Medical Physics, Biomedical Engineering or Computer Science

Our offer

To apply for the position, please send your electronic application (letter of motivation, curriculum vitae, last school certificate and university degrees, PhD certificate, publication list, other qualification certificates such as TOEFL, and the contact information of two references), preferably in PDF format.