PhD Candidate: Integrated Breast Imaging Scientist

Radboudumc; Nijmegen; On-site; EUR 42,000 - 48,000; Full time

Job summary

Radboud University Medical Center is recruiting for a PhD candidate to develop an integrated imaging system that fuses tomosynthesis and ultrasound for breast imaging. You will preprocess x-ray data and perform joint reconstruction, validating with phantoms and collaborating with a PhD student and industry partners for clinical translation.

The role involves presenting at international conferences and publishing results, contributing to advancing multi-modal imaging technologies in a leading

Qualifications

• 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 with biomedical research affinity.
• Experience programming in Python, C/C++, Matlab, or similar.
• Excellent communication skills in English, both written and spoken.

Responsibilities

• Develop an integrated system combining tomosynthesis and ultrasound data for improved imaging.
• Handle x-ray data preprocessing and joint reconstruction; validate with digital and physical phantoms.
• Collaborate with a PhD student focusing on ultrasound aspects and with industry partners for translation to clinical evaluation.
• Present results at international conferences and publish papers on the methods and study findings.

Skills

MSc in physics

Image processing

Inverse problems

English communication

Education

MSc in physics/related field

Tools

Python

C/C++

Matlab

Job description

Radboud University Medical Center is recruiting for a PhD candidate to develop an integrated imaging system that fuses tomosynthesis and ultrasound for breast imaging. You will preprocess x-ray data and perform joint reconstruction, validating with phantoms and collaborating with a PhD student and industry partners for clinical translation.

The role involves presenting at international conferences and publishing results, contributing to advancing multi-modal imaging technologies in a leading