PhD Candidate in Prostate Cancer Imaging & Decision Support

Radboudumc; Nijmegen; On-site; EUR 32,000 - 42,000; Full time

Benefits offered by this job

Four-year PhD appointment

Standard PhD salary and conditions

Job summary

Radboud University Medical Center in Nijmegen invites applications for a four-year PhD position embedded in the PROMETHEUS project, focusing on an AI super-agent that integrates MRI, PSMA PET/CT, histopathology, and EHR data to support prostate cancer management. You will work within MAGIC and DIAG, develop multimodal deep learning models, publish findings, and contribute to a PhD thesis.

Candidates hold an MSc or equivalent in AI, medicine, or related fields, with strong Python/PyTorch skills

Qualifications

• MSc or equivalent expertise in AI, medicine, computer or data science, biomedical engineering, technical medicine, or a related field.
• Strong programming skills in Python and PyTorch.
• Experience with multimodal data and oncology research is a plus.
• Commitment to PhD track and publication record.

Responsibilities

• Develop AI models to integrate multimodal health data for prostate cancer.
• Collaborate with MAGIC and DIAG groups at Radboudumc Nijmegen.
• Publish research findings and contribute to the PhD thesis.
• Ensure rigorous validation and alignment with clinical guidelines.

Skills

Python

PyTorch

Deep learning

Multimodal learning

Uncertainty estimation

Education

MSc in AI / computer science / biomedical engineering or related field

Tools

PyTorch

Job description

Radboud University Medical Center in Nijmegen invites applications for a four-year PhD position embedded in the PROMETHEUS project, focusing on an AI super-agent that integrates MRI, PSMA PET/CT, histopathology, and EHR data to support prostate cancer management. You will work within MAGIC and DIAG, develop multimodal deep learning models, publish findings, and contribute to a PhD thesis.

Candidates hold an MSc or equivalent in AI, medicine, or related fields, with strong Python/PyTorch skills