PhD candidate 'Development of an integrated system for breast cancer imaging | focus point X-ray'

Nijmegen and the Radboudumc

Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud University Medical Center is a leading academic center for medical science, education, and health care with over 10,000 staff and 3,000 students.

Department of Medical Imaging

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 clinicians 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 works 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, reconstruction, and processing methods, including artificial intelligence algorithms, and to evaluate the clinical performance of new technology in new clinical applications. The group counts on members 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.

Requirements

• You should be a creative and enthusiastic researcher with a MSc degree in physics, mathematics, computer science, engineering, medical physics, or similar.
• Experience or interest in physics modeling, inverse problems, and/or image processing, and affinity with biomedical research.
• Experience in programming in python, C/C++, Matlab, or similar.
• Excellent communication skills in English, both written and spoken.

• The following should be included in your application: CV, letters of motivation, list of completed courses and grades, and reprints or, preferably, links to your thesis or any scientific publications or reports in English that you have written.
• The first job interviews will take place on 2 November 2026. Please take this into account.
• All additional information about the vacancy can be obtained from Dr. Ioannis Sechopoulos.
• This position requires a Certificate of Conduct (VOG).

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!