In the project Development of functional breast tomosynthesis: Optimization and validation of functional imaging for personalized treatment of breast cancer you will develop and validate novel tomosynthesis image acquisition methods. Furthermore you will develop digital and physical functional phantoms to test these methods, and participate in the development and optimization of novel 3D and 4D image processing algorithms, based on traditional and AI algorithms. Will you join our team?

Recent advances in acquisition hardware and computer power have made the acquisition and reconstruction of functional images with x rays possible. Functional tomosynthesis imaging for acquisition of dynamic perfusion information will provide information on how a breast tumor functions and is reacting to therapy, in addition to their anatomical shape. This new, additional, realm of information obtained about tumor status will aid in personalization of treatment plans and monitoring of the response to treatment. However, the implementation of functional tomosynthesis requires development and optimization of image acquisition and processing methods to allow and optimize acquisitions at lower radiation doses, while maintaining high image quality characteristics.

The AXTI lab is engaged in the development of cutting-edge digital breast tomosynthesis systems for functional imaging of the breast. This project involves the development, optimization, characterization, and patient testing of the first such system in the world. Tasks will also include presenting at international scientific conferences and writing papers on newly developed methods and the study results.

There will be close collaboration with other team members focusing on reconstruction and radiomics aspect of the project, and industry partners to facilitate the translation of these methods into clinical evaluation and use.

You are a creative and enthusiastic researcher with a MSc degree in medical physics, biomedical engineering, computer science, physics, or similar.

Furthermore, you recognize yourself in the profile below:

• Experience or interest in radiology and/or image processing and affinity with biomedical research.
• Experience in programming in python, C/C++, Matlab, or similar.
• Experience in artificial intelligence is a plus.
• Excellent communication skills in English, both written and spoken.

Fixed-term contract: 4 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.

Research Institutes
At the moment there are more than 1,300 PhD candidates at our medical hospital. This number includes PhD candidates on our pay roll as well as external candidates (those employed somewhere else but researching on our premises).

• Radboud Institute for Health Sciences: ± 700
• Radboud Institute for Molecular Life Sciences: ± 400
• Donders Center for Medical Neurosciences: ± 200

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

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