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.

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.

• 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.

Amsterdam UMC

The Amsterdam UMC is one of the largest hospitals in the Netherlands and one of the prominent research institutes. The department of Biomedical Engineering & Physics participates in numerous international research projects and studies.

This PhD project will be embedded in the qurAI group. Image analysis researchers at the Department of Biomedical Engineering & Physics and qurAI group have ample experience in the development and validation of AI image analysis methods with a strong track record in cardiovascular imaging research.

You will be embedded in the group of PhD students and PostDocs developing AI methods for quantitative analysis of medical images and signals. Moreover, you will closely collaborate with other researchers and cardiologists in the CARA lab.

Starting a new job at AMR!