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PhD candidate functional ultrasound imaging of the female pelvic floor

The goal of the project is to develop 3D strain and tracking algorithms tailored for the female pelvic floor.

10 maanden geleden


Landelijk / geen vaste standplaats
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
36 uur


PhD student strain and deformation
Currently, post processing of ultrasound images of the female pelvic floor muscles is limited to 2-D datasets, although 3-D images are collected. The acquisition time of the ultrasound images of the pelvic floor muscles during contraction is too long to allow adequate tracking algorithms to be of use for detecting and estimate movements. The participation of Philips ultrasound in this project ensures the availability of a fast tracking (matrix) probe and TomTec provides basic strain software for further development. The goal of the project is to develop 3D strain and tracking algorithms tailored for the female pelvic floor.


  • An MSc in Biomedical Engineering, Physics or a similar university degree;
  • Excellent skills in signal and image processing;
  • Interested in hardware as well as in software development;
  • Interested in working in a hospital environment;
  • Capable of working in a multi-disciplinary team.


Salary is € 2244 gross per month in the first year up to a maximum of € 2874 gross per month in the last fourth year, plus additional vacation bonus (8% per year) and end of year payments (8.3% per year).

Additional information

Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG). Radboud university medical center’s HR Department will apply for this certificate on your behalf.

We request applicants to send a motivation letter explaining their interest and qualifications regarding the position, their prior research/work experience, a CV, and contact information of two professional references.

For more Information please contact Chris de Korte, PhD, Professor ”Medical Ultrasound Technologies”, Medical UltraSound Imaging Center. Use the Apply button to submit your application.rmation .

Read more about the Radboudumc employment conditions.


Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy film.

Our key strength is medical life-sciences and clinical practice, with an impressive infrastructure comprising state-of-the-art technology platforms and (translational) research facilities. The Radboudumc is therefore uniquely positioned in the emerging Euregio and Dutch healthcare infrastructure to play a leading role in the new healthcare paradigm of prediction, prevention and personalised medicine.

The Radboudumc focuses on scientific health challenges of today, with an eye on emerging diseases of the future.

Read more about what it means to work at Radboudumc and how you can do your part.

Radiology and Nuclear Medicine

Recently, a grant of the Dutch Technology Foundation (NWO-TTW) was awarded for the project "GYNaecological Imaging using 3D Ultrasound (GYNIUS)". Goal of this project is to develop methods to obtain functional and morphological information of the female pelvic floor muscles by an automatic segmentation model and deformation imaging. Finally, these will be tested on patients with pelvic floor disorders.

GYNIUS is a collaboration between the department of Obstetrics and Gynaecology of the University Medical Center Utrecht (Prof. Huub van der Vaart), the Medical UltraSound Imaging Center (MUSIC) of the Department of Radiology & Nuclear Medicine of the Radboud University Nijmegen Medical Centre (Prof. Chris de Korte), Twente University technical medicine (Prof. Kees Slump), Philips Ultrasound, and TomTec.
For GYNIUS, we have vacant positions for a full-time enthusiastic PhD student (4 years) and one part time (0.3) Post-Doc (4 years) at the Radboud University Medical Center. For the automatic segmentation and the clinical evaluation, PhD students have already been appointed at the Twente University and the University Medical Center Utrecht respectively. Each of the 3 participating academic centers are leading for medical science, education and health care.