PhD candidate AI-IMAGINE 'AI for first-time right treatment liver tumors'

PhD candidate AI-IMAGINE 'AI for first-time right treatment liver tumors'

Published Deadline Location
23 Feb 24 Mar Nijmegen

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Job description

Are you a PhD candidate who is motivated to develop state-of-the-art medical imaging AI and integrate this to improve treatment of patients with liver tumors? In the AI-IMAGINE project we aim to develop AI with real clinical impact. Will you join our ambitious team?

As a PhD candidate, you will collaborate with a group of international clinicians and AI experts to explore innovative AI methods for intra-operative evaluation and prediction of treatment success in thermal ablation treatment of liver tumors. This empowers clinicians to better assess treatment success during the actual treatment itself and, in future patients, allow immediate corrective treatment. Ultimately, we aim to enable first time-right treatment in all liver tumor patients and prevent unwanted re-treatments.

You will work from bench-to-bedside, covering the whole spectrum from data selection, curation, model development to first application in a clinical study. You will be involved in an international collaboration between Radboudumc, Leiden University Medical Center, Amsterdam University Medical Center, Medical University Innsbruck, Fraunhofer Institute for Digital Medicine and the Dutch Liver Patient Association. The research is funded by a grant from Stichting Hanarth Fonds.

We offer:
  • A stimulating and inspiring environment with a focus on direct impact on healthcare.
  • A strong, multidisciplinary supervision team, headed by Kristian Overduin, technical physician Interventional Radiology, and Henkjan Huisman, professor of Medical Imaging AI at Radboudumc.
  • Multitude of learning opportunities for personal and professional development (e.g. courses, conferences).


Radboud University Medical Center (Radboudumc)


You are an enthusiastic, highly motivated PhD candidate with a curious attitude, pro-active personality and a drive to make impact through clinical use of AI.

Moreover you have:
  • A background in Computer Science, Mathematics, Physics, Technical Medicine or similar.
  • Affinity with medical imaging AI.
  • Expertise in software development, preferably Python.
  • Academic writing, presentation and communication skills.
  • Prior experience with deep learning, machine learning and image analysis is a plus.

Are you in doubt whether you might be the right person for this position? Please do apply.

Conditions of employment

Fixed-term contract: 4 years.

At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:
  • Upon commencement of employment, you will start at scale 10A, step 0 (€2,901 based on a full-time appointment). Over a maximum period of 4 years, you will progress to scale 10A, step 3 (€3,677 based on a full-time appointment). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and a 47% to 72% bonus for working unsocial hours.
  • Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment. You can also share knowledge with colleagues through digital learning spaces – perfect for getting inspired and inspiring others.
  • Your well-being and vitality are our priorities. For instance, you can enjoy a 40% discount on a sports subscription at the Radboud Sports Center along with access to the Healthy Professionals program designed to assist you in managing your energy. If you are going through a life-changing event, our Company Support Team and a personal coach are there to help you.
  • Support in achieving a good work-life balance at every stage of your life. This includes advice and training courses (from ‘Millennial Dilemmas’ to ‘Your Career After 57’), activities at our own mindfulness center, and informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
  • 168 holiday hours per year (23 days) based on a 36-hour working week.
  • 26 weeks of parental leave, nine of which are paid.
  • You build up a pension by ABP Pension Fund, and Radboudumc pays 70% of the pension premium.
  • Discounts on health insurance and ten other types of insurance, from home insurance to legal assistance.
  • An allowance for your travel expenses or a working-from-home allowance of €2 per day.



You will be appointed at the Medical Imaging department of Radboudumc, Nijmegen. Worldwide, we are one of the top-ranking institutes for Radiology with an international reputation on AI research. You will be jointly appointed in the MAGIC and DIAG research groups and work with a multidisciplinary group of colleagues with expertise in interventional radiology, technical medicine, AI and informatics.

The MAGIC group is at the fore-front of developing and implementing image-guided therapy, shaping the future of minimally invasive tumor treatments. The group is world-leading in MRI-guided prostate treatment and has strong expertise in bringing innovations to clinical practice. MAGIC is headed by Prof. Jurgen Fütterer and is home to over 20 people, of which more than 10 PhD candidates.

The DIAG group is internationally renowned for its research on deep learning AI in medical imaging for over 30 years. DIAG spans Depts. Radiology, Pathology, Cardiology, Urology, Radiation Oncology and more. DIAG hosts over 70 PhD students, 6 PIs, and has a large local computational facility (100GPUs, DGX1) and collaboration with AWS. DIAG is at the front-end of AI research (Foundation models, Agents, DIAG is a collaboration of labs, and Prof Henkjan Huisman's lab is researching AI for abdominal imaging (PICAI, PANORAMA).

Welcome to Radboud university medical center (Radboudumc), where scientific breakthroughs are born through the curiosity and passion of our collaborating researchers in a vibrant environment. We believe trust and excitement are crucial elements to achieving our goals, and we approach our research as teams and with the utmost rigor to make a significant impact on health and healthcare. Our researchers are driven by their fascination with the biological, psychological, and sociological mechanisms underlying health and healthcare. They collaborate with partners from all over the world to improve health outcomes for all. Radboudumc unites patient care, research, education, and corporate learning, which allows us to approach our mission to shape the health and healthcare of the future in an innovative and person-centered way.

Our ambition is to lead the way in the pursuit of prevention, sustainability, meaningful care. We believe that through our research, we can significantly improve the health and well-being of society. Join us on our mission to make a difference in healthcare. Become a part of our community of gifted researchers, professionals or patient partners who are dedicated to making a real impact on population health and healthcare.

Read what it is like to do a PhD at the Radboud University Medical Center.


  • PhD; Research, development, innovation; IT
  • Natural sciences; Health
  • max. 36 hours per week
  • €2901—€3677 per month
  • University graduate
  • 190843-P1439710-1


Radboud University Medical Center (Radboudumc)

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Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen

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