Mauricio Reyes
11 months ago
AI for radiology University of Bern & Inselspital Bern in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Switzerland
University
University Name
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Where to contact
Official Email
Keywords
Computer Science
Biomedical Engineering
Radiology
Medical Imaging
Deep Learning
Artificial Intelligence
Technology Innovation
Python Programming
Explainable Ai
Clinical Application
About this position
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PhD
Position in
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AI
and
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Medical_Image_Analysis
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Switzerland
?? PhD Position in AI and Medical Image Analysis - University of Bern & Inselspital Bern, Switzerland
We invite applications for a fully funded PhD position focused on knowledge discovery and trustworthiness in AI for radiology. The position is part of an interdisciplinary collaboration between the Medical Image Analysis Group (Prof. Mauricio Reyes) and the Department of Radiology at Inselspital Bern ( Prof. Dr. Alexander, EMBA (HSG) Poellinger ).
?? Your Mission
You will develop a next-generation CBIR system that combines:
· Deep learning for image-based case retrieval
· Explainable AI to uncover true clinical knowledge
· Integration of LLMs for contextual reasoning and reporting
· Multimodal data fusion: radiology, lab values, medical history, and histopathology
?? Our Offer
· Fully funded PhD with flexible start (Summer–Fall 2025)
· Access to large-scale clinical data and computing infrastructure
· A vibrant, interdisciplinary research environment
· Opportunities to publish, innovate, and explore entrepreneurial paths
? Your Profile
· MSc in Computer Science, Biomedical Engineering, or related field
· Strong skills in deep learning and Python
· Interest in explainable AI, clinical relevance, and innovation
?? Apply by May 15, 2025
Send your CV, motivation letter, transcripts, and 2 references (in one PDF) to:
?? Prof. Mauricio Reyes – mauricio(dot)reyes (at) unibe(dot)ch
University of Bern Inselspital Stiftung Graduate School for Cellular and Biomedical Sciences, University of Bern Center for Artificial Intelligence in Medicine (CAIM) ARTORG Center for Biomedical Engineering Research
PhD AI MedicalImaging XAI
We invite applications for a fully funded PhD position focused on knowledge discovery and trustworthiness in AI for radiology. The position is part of an interdisciplinary collaboration between the Medical Image Analysis Group (Prof. Mauricio Reyes) and the Department of Radiology at Inselspital Bern ( Prof. Dr. Alexander, EMBA (HSG) Poellinger ).
?? Your Mission
You will develop a next-generation CBIR system that combines:
· Deep learning for image-based case retrieval
· Explainable AI to uncover true clinical knowledge
· Integration of LLMs for contextual reasoning and reporting
· Multimodal data fusion: radiology, lab values, medical history, and histopathology
?? Our Offer
· Fully funded PhD with flexible start (Summer–Fall 2025)
· Access to large-scale clinical data and computing infrastructure
· A vibrant, interdisciplinary research environment
· Opportunities to publish, innovate, and explore entrepreneurial paths
? Your Profile
· MSc in Computer Science, Biomedical Engineering, or related field
· Strong skills in deep learning and Python
· Interest in explainable AI, clinical relevance, and innovation
?? Apply by May 15, 2025
Send your CV, motivation letter, transcripts, and 2 references (in one PDF) to:
?? Prof. Mauricio Reyes – mauricio(dot)reyes (at) unibe(dot)ch
University of Bern Inselspital Stiftung Graduate School for Cellular and Biomedical Sciences, University of Bern Center for Artificial Intelligence in Medicine (CAIM) ARTORG Center for Biomedical Engineering Research
PhD AI MedicalImaging XAI
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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