Postdoc position on AI-based treatment selection in aneurysm patients

Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies.

In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA) are treated via endovascular aneurysm repair (EVAR). While EVAR has good short-term outcomes, EVAR-patients have an increased long-term risk of complications and reinterventions. This requires life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR.

You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique RADAR consortium database. These models will be validated in close collaboration with clinical and industrial partners, offering you the opportunity to translate AI innovations directly into patient care.

You will be part of the Mathematics of Imaging & AI chair, which has ample expertise in the development of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners.

In the MIA chair, you will join a collaborative and ambitious team that values open discussion, teamwork, and scientific curiosity. We work closely with clinical and industrial partners, ensuring that our research has real-world impact. You will benefit from an international, supportive environment that encourages professional growth, mentoring, and a healthy work–life balance.