Background
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.
Profile
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.
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).
Organisation
You will be appointed at the Medical Imaging department of Radboud University Medical Center (Radboudumc). 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, Grand-Challenge.org). DIAG is a collaboration of labs, and Prof Henkjan Huisman's lab is researching AI for abdominal imaging (PICAI, PANORAMA).
Employment conditions
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:
- A gross monthly salary between € 2.901 and € 3.6877 (scale 10A) based on full-time employment.
- An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
- As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
- Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
- You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
- We provide annual courses, both professional and personal.
- In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC.
Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.
Application
Are you ready to think further for our patients and our care? We would like to receive your application before 25 March 2024 via the following link. We will then contact you shortly. For further information, please contact Kristian Overduin
