Computational Imaging Research Lab | Open positions

We are looking for a PhD student to join HER-CARE, a European doctoral network, with a focus on multi-modal ML, imaging, and breast cancer research. 

In this PhD project you will develop AI models using imaging together with multi-modal data (e.g., genetics) to predict individual breast cancer progression and tumour aggressiveness. A specific focus is on the linking of modalities from clinical-, genetic-, and multi-parametric MRI data for prediction and the investigation of relationships across modalities. Relevant methods range from vision language models (VLM), multi agent systems (MAS), to transformer models for the representation and structure learning in complex multi-modal data. For instance, we are curious if MAS can be used for biological mechanism discovery from patient data, or if hyper-models can steer the prediction from multi-modal but incomplete patient data. You will be supervised by Georg Langs together with Yen Tan.

The HER-CARE PhD programme encompasses as stay with industry as well as with academic partners. You will be embedded in an interdisciplinary research team with members from machine learning, biomedical technology, medical imaging, and cancer medicine. 

The PhD will be conducted at Computational Imaging Research Lab and the Comprehensive Center for AI in Medicine.

Apply via the link until 26.04.2026 for the PhD project “Georg Langs - AI Models Using Imaging and Genetics to Predict Breast Cancer Risk and Tumour Aggressiveness in BRCA Pathogenic variant Carriers”