Assistant Professor in Cardiovascular Image Analysis



Are you an excellent candidate with a PhD degree in Medical Imaging, Artificial Intelligence, or closely related field?

About vacancy

The project

You will work on cardiovascular image analysis research within the qurAI group with the aim to develop and evaluate AI-based applications, improve patient diagnosis and prognosis, and contribute to design and evaluation of integrated data storage thereby aligning with the Amsterdam UMC strategy.

You will support new and ongoing research within the qurAI group, specifically the ICAI Cardiology lab with Abbott, Radboudumc and AmsterdamUMC (CARA) lab and other research projects in the Cardiovascular lab of the qurAI group.

You will be joining a growing and vibrant interfaculty team of colleagues at qurAI group tackling problems related to the development of trustworthy AI solutions to solve medical image analysis challenges encountered in different steps of the patient pathway, from prevention and triage, through diagnosis and decision-making, to care delivery and management.


About your role

You are expected to:

  • Contribute to the development of the research group through innovative research and develop your own independent research line;
  • Acquire independent funding from sources such as the national funding agency NWO (e.g. VIDI), EU funding via H2020 (e.g. ERC starting grant) and industry;
  • Serve as daily co-supervisor of the PhD students in the CARA lab and possibly other PhD and MSc students in qurAI group;
  • Participate in teaching at the University of Amsterdam;
  • Be proactive in establishing collaborations with other departments and institutes and/or companies by contributing your expertise to (joint) research projects;
  • Publish in high-level international journals and conferences;


Your profile
  • You are an excellent candidate with a PhD degree in Artificial Intelligence, Computer Science, Biomedical Engineering or a closely related field;
  • You have a solid publication record in fields related to AI and Health as demonstrated by international peer-reviewed publications;
  • You have a good scientific background, are highly motivated and independent, eager to supervise PhD students and able to work in an interdisciplinary team of medical doctors and engineers;
  • Experience in medical or cardiovascular image analysis is an advantage. At least two years of postdoctoral experience is expected but not strictly necessary. International research experience is preferred;


Our offer

  • 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) and outlook to a permanent position;
  • Salary scale 11: € 4.498  to € 6.156 gross for full-time employment (depending on education and experience);
  • 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;
  • Excellent accessibility by public transport and reimbursement of a large part of your travel expenses. We also have a good bicycle plan;
  • An active staff association and the Young Amsterdam UMC association, both of which organize fun (sports) activities and events;


About the workplace
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 research will be embedded in the qurAI group at the Department of Biomedical
Engineering & Physics and Informatics Institute at the University of Amsterdam. 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.


Do you recognize yourself in the job profile? Then we look forward to receiving your application by 14 November 2023. You can apply online via this link.