We are seeking a highly motivated and talented PhD candidate to join our new team at the CARA Lab, a multi-disciplinary and multi-institutional collaboration between Radboudumc and Amsterdam UMC. Will you join our ambitious team?
The CARA Lab
is a dynamic and innovative research group focused on the integration of advanced medical imaging and artificial intelligence technologies to improve 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. 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 organisations 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.
As a PhD candidate you will be involved in integrating novel AI algorithms for real-time analysis of optical coherence tomography (OCT) images of the coronary arteries, acquired during cardiac catheterization procedures. Collaborating with a multidisciplinary team, you will actively work on bridging the gap between AI technology and clinical practice. This will involve enhancing the output of AI models by focusing on aspects such as interpretability, reliability and trustworthiness. Additionally, you will conduct qualitative research to gain valuable insights into the perspectives of patients and operators, thereby promoting a comprehensive understanding of their perceptions and needs. Ultimately, you will contribute in the setup and implementation of a randomized clinical trial, specifically designed to evaluate the effectiveness and impact of real-time AI-based clinical decision-making during cardiac procedures.
You will work closely within a multidisciplinary team of clinicians, social science researchers, engineers, and industrial partners, and will have the opportunity to contribute to the development of state-of-the-art technology with the potential to transform the field of cardiovascular imaging. Mentoring junior team members and actively shaping the lab's research direction will be integral parts of the role. The position will be primarily based at the Radboudumc, with occasional visits to Amsterdam.
As a PhD you will:
- Engage in research within a multidisciplinary group dedicated to developing AI algorithms for real-time analysis and interpretation of optical coherence tomography (OCT) images during cardiac procedures.
- Translate state-of-the-art technology into clinical practice, contributing to the successful implementation and output of the developed algorithms.
- Conduct qualitative research to gain insights into the perspectives of patients and operators, fostering a deeper understanding of their vision and incorporating it into the research outcomes.
- Design of a randomized trial focused on AI-based clinical decision-making on the cardiac catheterization lab, working on its setup and implementation.
- Disseminate research findings by publishing in esteemed peer-reviewed journals and presenting at international conferences.
- Provide mentorship to junior team members, actively contributing to their professional growth, while also playing a role in shaping the lab's research direction.