PhD candidate AI in cardiology

Dit ga je doen

The PhD candidate will work from the UMC Utrecht, engaging with diverse stakeholders such as general practitioners, ambulance services, and patients. This role offers an exceptional opportunity to conduct cutting-edge research with significant societal impact, improving diagnostic accuracy, enhancing care pathways, and fostering seamless collaboration in healthcare. Applicants should have a background in medicine, technical medicine or healthcare technology, with strong analytical and communication skills.

Key responsibilities include identifying and analyzing user requirements, contributing to the development of tailored AI algorithms for different healthcare user groups, and validating the solutions in clinical settings.

The total project duration is 3 years and is partly funded by Health Holland and the European Union. As this project is funded by a public-private partnership grant, you will also work closely with the private partners (Cordys Analytics B.V.) involved in this project.

For training purposes, the PhD candidate will be affiliated with the PhD program of the Utrecht University Graduate School of Life Sciences. The PhD program provides a broad selection of courses and organizes various scientific workshops and colloquia.

Hier ga je werken

The AI research group at the Department of Cardiology offers an inspiring working environment that fosters innovation, collaboration, and excellence in the field of artificial intelligence applied to cardiology. This dynamic research group brings together experts from various disciplines, including cardiology, computer science, machine learning, and biomedical engineering, creating a multidisciplinary and stimulating environment.

One of the key features of this research group is its commitment to advancing healthcare through the development of cutting-edge AI. The team is dedicated to developing and implementing novel AI algorithms, models, and systems that have the potential to revolutionize the diagnosis, treatment, and prevention of cardiovascular diseases. The researchers are driven by a shared passion for improving patient care and outcomes, and they are motivated by the immense impact their work can have on the lives of individuals with heart-related conditions.

Collaboration is a cornerstone of the working environment within the AI research group. Researchers actively engage in interdisciplinary collaborations, both within the department and with external partners, such as other research institutions, industry stakeholders, and healthcare providers. This collaborative approach encourages the exchange of ideas, knowledge sharing, and cross-pollination of expertise, ultimately leading to more comprehensive and impactful research outcomes.

Dit neem je mee

The candidate for this project has a Master's degree in Medicine, Technical Medicine or similar. The candidate has a clear research interest in the developments and applications of deep learning in the medical environment.

In addition, the candidate has:

• High proficiency in spoken and written English and Dutch.
• Good communication skills and you are driven by scientific curiosity.
• Highly motivated and capable of working within a multi-disciplinary environment.
• Proficiency in Dutch is required due to active involvement in stakeholder meetings and clinical studies.

Ideally, the candidate has:

• Experience with designing and doing clinical research.
• Experience with using deep learning.
• Experience with medical statistics.

Your reaction should include an application/motivation letter (max 1 page), emphasizing your specific interest and motivation, and a detailed CV. An interview and a scientific presentation will be part of the selection procedure.

Dit bieden we jou

• A PhD candidate will be scaled in the OIO scale or scale 10 based on education.
• Salary increase of 3% from July 2025, according to the collective labor agreement (cao).
• Year-end bonus of 8.3% and holiday allowance of 8%.
• Pension insurance with ABP. We take care of approximately 70% of the monthly contribution.
• 100% public transport reimbursement. Are you coming on foot, by bike or by car? You will then receive a reimbursement of € 0.18 per km (by car up to a max. of 40 km one way).
• Possibilities to develop yourself personally and professionally.
• The option to select additional employment benefits in exchange for gross salary, such as purchasing a bicycle and memberships.