PhD candidate in Integrated Breast Cancer Imaging and Ultrasound
Develop an innovative joint ultrasound and tomosynthesis imaging system for enhanced breast cancer detection.
Best for:Best for engineering and physics graduates with strong programming skills and an interest in biomedical imaging.
Overview
Radboud University Medical Center is seeking a creative PhD candidate to develop a joint breast imaging system that combines 3D ultrasound and X-ray tomosynthesis. The project focuses on utilizing an ultra-wide ultrasound transducer to acquire 3D ultrasound datasets that improve X-ray data and vice versa. Working within a multidisciplinary team alongside another PhD student focusing on X-ray aspects and various industry partners, the candidate will validate methods using digital and physical phantoms. Expected deliverables include conducting clinical translations, presenting at international conferences, and authoring scientific publications.
What you'll do
- Develop and validate 3D ultrasound methods using an ultra-wide transducer mounted on a tomosynthesis paddle.
- Collaborate on data preprocessing and joint image reconstruction techniques with a partner X-ray research project.
- Utilize digital and physical phantoms to test and verify imaging algorithms and system integration.
- Work alongside industry partners to facilitate the translation of developed methods into clinical evaluations.
- Present research findings at international scientific conferences and write papers for peer-reviewed journals.
Requirements
Degree required: MSc degree in physics, mathematics, engineering, technical medicine, or similar
Degree offered: PhD
Language: English; excellent written and spoken proficiency
Instruction: English
- Background or interest in physics modeling, inverse problems, and/or image processing
- Affinity with biomedical research and clinical translation
- Programming experience in Python, C/C++, MATLAB, or similar languages
- Strong written and verbal communication skills in English
Funding & terms
How to apply
Deadline: 2026-10-29
Submit your application including all required supporting documents through the online recruitment portal before the specified deadline.
- CV
- Cover letter
- MSc transcripts
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