Vacancies 64982-PhD-candidate-Validation-and-implementation-of-AI-in-radiology

  • 36 hours a week
  • Temporary
  • 3 years
  • Date of publication: 25 January 2019
  • Deadline: 28 February 2019
  • Scale 10A: max € 42220 gross per year at full employment (incl. vacation bonus and end of year payments)
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Job description

We are looking for an ambitious PhD candidate to work on this three-year project. The work should result in a PhD thesis. This project is a collaboration between clinical researchers of the Department of Radiology & Nuclear Medicine of the Radboud University Medical Center and Jeroen Bosch Hospital and the Diagnostic Image Analysis Group of the Department of Radiology & Nuclear Medicine of the Radboud University Medical Center Nijmegen.

The number of AI products for radiology is rapidly growing. There are over 100 companies active in this market and platforms are appearing that lower the barrier for software developers to make their solution widely available. Until now, very few of the AI products are being used in daily practice, although many of the developers are trying to get a foothold in hospitals and radiology departments. On the other side, management boards and radiologists are struggling to find out which products may improve healthcare, reduce workload or reduce costs. Solid studies to validate AI products in radiology are scarce. Most studies were performed with funding from the industry and only measure the performance of a single algorithm and ignore integration in clinical workflow, time- and cost-savings and cost-effectiveness analysis.

The goal of this project is to develop a generic validation strategy that includes technical efficacy (e.g. diagnostic performance and robustness to differences in input), diagnostic efficacy (impact on radiological practice, patient outcomes), ease-of-use for implementation in routine care, cost-effectiveness (differentiating gains in accuracy and gains in efficiency, e.g., reduced reading times), and efficacy at the overall healthcare and societal level.

The Diagnostic Image Analysis Group is at the forefront of these developments and various in-house developed products have been or are being translated to the clinic. In a collaboration of the Department of Radiology & Nuclear Medicine of the Radboud University Medical Center and the Department of Radiology of Jeroen Bosch Hospital, we have access to a wide spectrum of data, pathology, and knowledge, which is important for the quality of our test and validation results.


  • MSc degree in Medicine (or equivalent);
  • Strong interest in radiology and Artificial Intelligence;
  • Excellent communication skills in English, interest and capabilities to work in an interdisciplinary research team.


Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy.

Read more about what it means to work at Radboudumc and how you can do your part.

Employment conditions

You will be appointed as a clinical PhD student at the Radboud University Medical Center Nijmegen, Department of Radiology & Nuclear Medicine, with the standard salary and secondary conditions for clinical PhD students in the Netherlands. You will work within the Radboud Institute for Health Sciences of the Radboud University Nijmegen Medical Center. Your performance will be evaluated after 1 year and will normally be extended by 2 years.

Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center’s HR Department will apply for this certificate on your behalf.

Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.

Comments and contact information

Please incluede a cv, list of followed courses and grades, a letter of motivation, and reprints or, preferably, links to your Master thesis or any scientific publications or reports that you have written.

All additional information about the vacancy can be obtained from Maarten de Rooij or from Steven Schalekamp .  Use the Apply button to submit your application.

Please apply before 28 February.
Recruitment agencies are asked not to respond to this job posting.

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