Postdoc position on AI-based treatment selection in aneurysm patients

  • //applyindex.com/wp-content/uploads/2021/11/netherlands.png Netherlands
  • University/Institute Name University of Twente
  • Attendance Type On Campus (Full Time)
  • Position DurationSee Position Description
  • Position Funding Type Postdoc Salary or Fellowship
  • Application deadlineExpired

Position Details (Postdoc)

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.

Your profile

  • 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

Our offer

  • 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.

Information and application

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, [email protected])

Screening will be part of the selection procedure.

About the 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.

About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow’s digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

Research Areas & Fields of Study involved in the position

Position Start Date