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PhD Candidate in Explainable AI and Foundation Models for CT Imaging 6 september 2026 Maastricht University WO limburg, Maastricht Geplaatst 8 uur geleden Welcome to Maastricht University! Do you want to contribute to advancing AI in medical imaging? In this PhD position, you will conduct research on explainable artificial intelligence and foundation models for CT imaging. You will develop and evaluate novel methods, with a strong focus on methodological innovation, rigorous validation and clinical relevance. PhD Candidate in Explainable AI and Foundation Models for CT Imaging - Our goal: To develop novel AI methods for explainability in medical imaging, including diffusion-model-based approaches, and to advance foundation models for CT through model development, training, evaluation, and external validation. - Your colleagues: You will join the Department of Precision Medicine at Maastricht University, embedded within GROW and the Faculty of Health, Medicine and Life Sciences. You will work in an interdisciplinary environment connecting artificial intelligence, medical imaging, and clinical translation. What you do As a PhD candidate, you will undertake a four-year doctoral research project leading to a PhD thesis. You will develop and evaluate new methods for explainable AI in medical imaging, with particular attention to the use of diffusion models for explanation and interpretation. You will also contribute to the design, training, adaptation, and external validation of foundation models for CT images. What you bring We're not looking for checkboxes; we're interested in who you are and what you bring. Do you recognize yourself in this? You are an analytical and curious researcher with an interest in technically innovative research at the intersection of artificial intelligence, medical imaging and clinical translation. You enjoy tackling complex problems and working in an interdisciplinary and international environ...
How to apply
CV with attached letter,Online application form,Telephone
Contact: C-Mill | Tel: +31651666257 | Email:
