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.
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 (https://icai.ai/icai-labs/cara/)
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.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 (https://qurai.amsterdam
), which is an interfaculty group embedded at the Department of Biomedical Engineering and Physics, Amsterdam UMC - location University of Amsterdam and Informatics Institute, Faculty of Science, University of Amsterdam. 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.