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  2. Postdoc position on AI-based treatment selection in aneurysm patients

Postdoc position on AI-based treatment selection in aneurysm patients

Postdoc position on AI-based treatment selection in aneurysm patients

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    Eline Meijerink
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    Stefano Stramigioli
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    Britt Büter
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    Kuan Chen
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    Clara Stegehuis
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    Jeroen Blok
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    Ying Wang

Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 3,546 - € 5,538
  • Deadline
    14 Sep 2025

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:

For more information regarding this position, you are welcome to contact (dr. Jelmer Wolterink, j.m.wolterink@utwente.nl)

Screening will be part of the selection procedure.

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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.

Want to know more?

Wolterink, J.M. (Jelmer)

Wolterink, J.M. (Jelmer)
Associate Professor

Wolterink, J.M. (Jelmer)
Associate Professor

Do you have questions about this vacancy? Then you can contact Jelmer for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues

About the faculty EEMCS

Curious about what the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) stands for? Check out the EEMCS website for more information.

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