PhD in automated analysis of coronary OCT images




We are seeking a highly motivated and talented individual to join our new team as a PhD-candidate at the CARA Lab, a multi-disciplinary and multi-institutional collaboration between Radboudumc and Amsterdam UMC.

About vacancy

About the project

This lab is part of the 10-year LTP ROBUST program “Trustworthy AI-based Systems for Sustainable Growth” consortium, which unites 17 knowledge institutions, 19 participating industry sponsors and 15 civil-social organizations from across the Netherlands. You will gain valuable experience working with an industry partner and will be able to tap into a wealth of networking, career development, and training opportunities in conjunction with ICAI, the Innovation Center for Artificial Intelligence at the University of Amsterdam.

The CARA Lab is a dynamic and innovative research group focused on the integration of advanced medical imaging and artificial intelligence technologies to improve the diagnosis and treatment of cardiovascular diseases, especially coronary artery disease. The lab is a collaboration between Radboudumc, Amsterdam UMC and Abbott, a world-leading international medical device company.


About the role

The PhD candidate will be involved in the development of AI algorithms for segmentation and real-time analysis of optical coherence tomography (OCT) images of the coronary arteries, obtained during cardiac catheterization procedures.

The role will be based at the qurAI group and the candidate will occasionally visit Radboud UMC.

The project will require a combination of technical and scientific skills, including expertise in image analysis, machine learning, and software development.

The PhD candidate will work closely with a multidisciplinary team of cardiologists, engineers, and industrial partners, and will have the opportunity to contribute to the development of cutting-edge technology that has the potential to transform the field of cardiovascular imaging.



We are looking for an excellent candidate with an MSc degree in biomedical engineering, artificial intelligence, computer science, image sciences or comparable training, with a strong interest in medical image processing and analysis.

The candidate must have a good scientific background, should be highly motivated and independent, and able to work in an interdisciplinary team of medical doctors and engineers.

Programming experience, preferably in Phyton, is required.


Our offer

  • A flying start to your career in research work in a metropolis with a diverse and open culture, and a multicultural society.
  • Working with motivated colleagues from all corners of the world.
  • You will start with a contract for one year (12 months) in accordance with the CAO UMC 2022-2023, with the possibility of extension for another three years (36 months).
  • PhD students (Onderzoeker in Opleiding) are placed in scale 21, with a fulltime gross salary. The starting salary is € 2.789,-  and increases to € 3.536,- in the fourth year. The position is for 4 years.
  • In addition to a good basic salary, you will receive, among other things, 8.3% year-end bonus and 8% vacation allowance. Calculate your net salary here.
  • Pension via BeFrank
  • Reimbursement of 75% of your public transport costs. Would you rather travel by bike? Then we have a good bicycle scheme.
  • An active staff association and the Young Amsterdam UMC association, both of which organize fun (sports) activities and events


If you are interested, please apply on this website:


Diversity and Inclusion Statement 

Amsterdam UMC is an international organization, embracing a diverse student and staff population. We strongly believe that diversity is our advantage and creating an inclusive working climate in which students and staff feel a valued member of the Amsterdam UMC and UvA community is therefore a top priority. Amsterdam UMC values diversity within its community, therefore we encourage all qualified applicants, including minorities, women, people with disabilities, and members of other groups underrepresented in academia to apply. In case this vacancy appeals to you, but you are doubting whether you might be the right person for this position, please do apply. Some demographic data of selected applicants will be shared with Maastricht University that is coordinating the recruitment for LTP ROBUST (Only demographic of the final placements will be shared with UM)