Postdoc position on AI-based treatment selection in aneurysm patients
Job Description
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.
Requirements
PhD in a relevant field (e.g., medical imaging, computer vision, AI)
Expertise in applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning)
Proficiency in Python and PyTorch
Motivation to work with interdisciplinary clinical partners
A track record of publications in relevant venues (e.g., MICCAI, MIDL, CVPR, NeurIPS) or journals
Excellent communication and collaboration skills
Conditions of Employment
You will be appointed for a period of maximum three years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.
Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU); Gross salary between € 3.546,- (step 0) and € 5.538,- (step 12) per month depending on experience and qualifications; Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme; The flexibility to work (partially) from home; Minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis. Excellent support for research and facilities for professional and personal development. We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff. We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.
Department
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.
Additional Information
Are you interested in this position? Please send your application via the "Apply now" button below before September 15th, 2025, and include: CV (including contact information for at least two academic references) An original motivation letter indicating your fit with this position and associated ambition. For more information regarding this position, you are welcome to contact dr. Jelmer Wolterink. Screening will be part of the selection procedure.
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