Advances in digital imaging and computer power over the last couple of decades have made advanced tomographic and pseudo-tomographic imaging with x rays possible. More recently, artificial intelligence-based processes have been introduced in the medical imaging field, including applications in image reconstruction. New image formation methods that take advantage of digital detectors, iterative reconstruction, and AI-based approaches allow for the development of high spatial- and temporal-resolution functional imaging with x rays, either for material decomposition and/or for dynamic perfusion imaging. These are key approaches that will allow enhanced screening and treatment planning and monitoring.

The AXTI lab is engaged in the development of cutting-edge dedicated breast CT and digital breast tomosynthesis systems for functional imaging of the breast. These new modalities involve the development, optimization, characterization, and patient testing of the first such systems in the world.

You will guide a team of PhD students and participate in the development of new image acquisition and correction methods that combine traditional methods and AI-based approaches, for both imaging modalities: dedicated breast CT and digital breast tomosynthesis. While the focus of the work will be on the medical physics aspects of image formation and correction, there will also be opportunities to contribute to all steps of the imaging chain, including reconstruction and radiomics-based analysis. There will be close collaboration with industry partners to facilitate the translation of these methods into clinical evaluation and use.

Tasks will consist of development, implementation, validation, and testing of image acquisition and correction methods using, where needed, AI-based methods, computer simulations of image acquisition, physical and digital phantom-based imaging, presenting and writing papers on the study results, supervising PhD students (and potentially Master's students), and participating and aiding in the planning and writing of new grant applications.

You should be a creative and enthusiastic researcher with a PhD degree in medical physics, biomedical engineering, or similar. In addition you possess the profile below:

• Experience in medical imaging, image processing, and AI methods.
• Excellent communication skills in English, both written and spoken.
• Ability to work effectively both independently and as part of a multidisciplinary team.
• Experience in programming in python, knowledge of C/C++ or CUDA is a plus.
• Knowledge of x-ray imaging is a plus.

Fixed-term contract: 3 years.

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together. We provide annual courses, both professional and personal.

• In addition to your monthly salary and an annual vacation allowance of 8%, you will receive an end-of-year bonus of 8.3%.
• If you work irregular hours, you will receive an allowance.
• 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.

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.

Radboudumc

The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation between preclinical researchers, radiologists and cardiologists gives a fantastic opportunity to implement new imaging techniques in clinical practice, and you will be working directly in this field.

Advanced X-ray Tomographic Imaging laboratory
The AXTI laboratory is focused on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and reconstruction and processing, including artificial intelligence algorithms, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image processing, reconstruction, deep learning and other AI methods, and analysis, as well as radiation dosimetry, along with the design and performance of patient trials.

The laboratory works closely with radiologists and industry to develop new, clinically relevant, imaging methods and processes in x-ray-based imaging, especially in breast imaging and body CT, to have an impact in detection, diagnosis, and treatment of pathologies.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc