Radboud University Medical Center (Radboudumc) is inviting applications for a fully funded 4-year PhD position focusing on Multimodal and Agentic AI for Precision Prostate Cancer Care. Embedded within the prestigious PROMETHEUS project, this position offers an exceptional opportunity to build next-generation, clinically grounded artificial intelligence systems alongside world-leading research groups in Nijmegen, Netherlands.
Position Overview
Designation: PhD Candidate (Opleidingsplaats)
| Feature | Details |
|---|---|
| Host Institution | Radboud University Medical Center (Radboudumc) |
| Research Groups | MAGIC (Minimally Invasive Image-Guided Intervention Center) & DIAG (Diagnostic Image Analysis Group) |
| Project Name | PROMETHEUS |
| Research Area | Medical Artificial Intelligence, Deep Learning & Precision Oncology |
| Location | Nijmegen, Netherlands |
| Employment Type | Full-time (36 hours/week, 4-year appointment) |
| Monthly Salary | €3,217 – €5,867 gross per month (Scale 10A / Scale 10) |
| Application Deadline | October 1, 2026 |
| Preferred Start Date | November 1, 2026 |
Research Area
This doctoral research project spans Medical Artificial Intelligence, Agentic AI, Multimodal Machine Learning, and Computational Oncology. The primary focus is the development and translation of intelligent decision-support models integrating longitudinal health data, radiology, and pathology to optimize prostate cancer diagnosis and individualized therapy.
Scholarship & Position Description
The PhD position is embedded within the PROMETHEUS project (PROstate cancer Multimodal Explainable Transferable Holistic Expert for Universal Stratification). PROMETHEUS brings together six premier European institutions to design an AI "super-agent" capable of integrating MRI, PSMA PET/CT imaging, histopathology, and longitudinal electronic health records.
Key Research Objectives
- Predictive Diagnosis: Identifying whether a patient requires a prostate biopsy and assessing the likelihood of clinically aggressive cancer.
- Personalized Treatment Selection: Simulating disease trajectories under active surveillance, surgery, or multimodal oncological therapies.
- Evidence-Based Decision Support: Generating transparent, explainable AI recommendations paired with uncertainty estimations conforming to clinical guidelines.
Research Environment
The successful candidate will work between two world-renowned research units at Radboudumc:
- DIAG (Diagnostic Image Analysis Group): A pioneering research cluster of over 70 scientists focused on deep learning, radiology, and pathology AI innovations.
- MAGIC (Minimally Invasive Image-Guided Intervention Center): Leaders in translating image-guided technologies for prostate diagnosis and intervention into direct clinical care.
- Access to the world's largest curated prostate MRI cohort (>22,000 examinations across 22 countries) and established consortia behind landmark studies such as PI-CAI and PANORAMA (published in The Lancet Oncology).
Employment Benefits
- Competitive salary scale (Scale 10 for medical graduates; Scale 10A for other disciplines).
- 8% holiday allowance plus an 8.3% end-of-year bonus.
- 180 vacation hours per year (based on a 36-hour working week).
- Comprehensive commuting allowance (€0.21/km or 100% reimbursement for second-class public transit) and home-working allowances.
- Extensive professional training, courses, and mentoring within the Radboudumc PhD program.
Eligibility and Qualifications
Candidates must meet the following entry criteria:
- Academic Background: An MSc degree (or equivalent) in Artificial Intelligence, Computer Science, Data Science, Biomedical Engineering, Technical Medicine, Medicine, or a related quantitative field.
- Technical Skills: Strong programming proficiency in Python and deep learning frameworks (PyTorch).
- Methodological Knowledge: Demonstrated interest or experience in multimodal learning, agentic AI architectures, longitudinal modeling, or uncertainty quantification.
- Interdisciplinary Interest: Genuine enthusiasm for oncology research and translating computational algorithms into clinical impact.
- Applicants from groups traditionally underrepresented in STEM fields are strongly encouraged to apply.
How to Apply
Interested candidates should submit their application online via the official Radboudumc career portal. Prepare and upload the following documents:
- A detailed Curriculum Vitae (CV).
- A targeted Cover Letter detailing your motivation, relevant experience, and research interests.
- Academic transcripts and contact details of academic referees.
Note: Appointment is subject to the submission of a Certificate of Conduct (VOG).
Last Date for Apply
The closing date for applications is October 1, 2026. Applications are reviewed sequentially, and shortlisted candidates will be contacted within 5 working days following the closing date.
Official Application Link
To view the official vacancy listing and submit your online application, visit:
Apply Here: PhD Candidate in Multimodal & Agentic AI (Radboudumc)
