Postdoc in AI for Accessible Cardiac CT Image Analysis

Medical imaging plays an essential role in disease detection, diagnosis, and aftercare. The accessibility to medical imaging is however challenged by the high costs of imaging devices, the availability of highly-trained personnel to operate these devices, and the availability of experts to analyze and interpret the resulting images.

Our public-private multi-institutional and multi-disciplinary consortium, “AI4AI: Artificial Intelligence for Accessible Medical Imaging“, funded by Dutch Research Council, aims to address these bottlenecks. This will be achieved by developing artificial intelligence technologies to enable the use of more affordable devices, to allow operation by nonspecialized personnel, and to allow automated image interpretation.

Within this project, you will develop innovative deep learning methods to identify patients with coronary artery disease. CT is the primary technique for detecting this condition in patients with stable chest pain. Current CT procedures are complex and require significant expertise in image acquisition and interpretation. This limits the use of cardiac CT outside hospitals, especially where affordable scanners with suboptimal image quality are used. You will create AI algorithms for accurate and robust analysis, expanding the applicability of affordable scanners and reducing the need for specialized expert analysis. 

Additionally, you will:

• Work in a multi-disciplinary and multi-institutional AI4AI consortium
• Publish and present your research in journals and at international conferences;
• Contribute to educational activities and supervise bachelor and master students.

You hold a PhD in biomedical engineering, artificial intelligence, computer science, or a related field. You have proven experience in machine learning, deep learning, and medical image analysis, for example through academic publications. You are skilled in programming, especially in Python and ML-related libraries. You are highly motivated to pursue academic research and fluent in English, both written and spoken.

• a PhD in a relevant field;
• experience with machine learning, deep learning, and medical image analysis;
• strong programming skills, especially in Python;
• motivation for academic research;
• excellent command of English.