PhD Candidate: Multimodal AI for Prostate Cancer

Radboud University Medical Center (Radboudumc); Netherlands; On-site; EUR 32,000 - 44,000; Full time

Benefits offered by this job

Holiday allowance 8%

End-of-year bonus 8.3%

Travel allowance per km (€0.18)

Home-working days (€2.40/day)

Job summary

Radboud University Medical Center (Radboudumc) invites applications for a four-year PhD candidate position embedded in the PROMETHEUS project. The role focuses on developing explainable AI to integrate multimodal health data for prostate cancer decision support.

You will engage in predictive diagnosis, personalised treatment planning, and evidence-based recommendations, with strong emphasis on clinical relevance.

Qualifications

• MSc or equivalent expertise in AI, medicine, computer science, or biomedical engineering.
• Strong programming skills in Python and PyTorch.
• Experience with multimodal learning, longitudinal modelling, and uncertainty estimation.

Responsibilities

• Conduct AI-driven research within the PROMETHEUS project on prostate cancer decision-support.
• Develop and evaluate multimodal models using MRI, PSMA PET/CT, histopathology, and EHR data.
• Publish findings and contribute to the PhD thesis and collaborative papers.

Skills

Python

PyTorch

Multimodal learning

Longitudinal modelling

AI research

Education

MSc or equivalent in AI/medicine/computer science/biomedical engineering

Tools

Python

PyTorch

Job description

Radboud University Medical Center (Radboudumc) invites applications for a four-year PhD candidate position embedded in the PROMETHEUS project. The role focuses on developing explainable AI to integrate multimodal health data for prostate cancer decision support.

You will engage in predictive diagnosis, personalised treatment planning, and evidence-based recommendations, with strong emphasis on clinical relevance.