As a PhD candidate, you will:
- Develop and train deep-learning models (CNNs, Transformers, GANs) for PET and CT dose reduction
- Work with raw PET/CT data, projection data, and reconstructed images
- Perform quantitative image evaluation and clinical validation
- Collaborate with clinicians, physicists, AI researchers, and industry partners
- Publish results in high-impact journals and present at international conferences
This is a unique opportunity to work at the cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care.
We are looking for a motivated candidate with:
- A Master’s degree in Medical Physics, Biomedical Engineering, Physics, AI, or a related field.
- Strong interest in medical imaging, radiation safety, and AI.
- Experience with Python, deep learning frameworks (PyTorch/TensorFlow), or image analysis (preferred).
- Good communication skills and fluency in English. For student with MSc in language other than English, IELT or TOEFL certificate must be provided.
- Eligibility for admission to the Graduate School of Medical Sciences, University of Groningen (more information here).
