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PhD in Medical AI: 3D Imaging, Vision-Language Models, Surgical Robotics and Clinical Agents University of Birmingham in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. Funding notes state a 4-year studentship covering UK home fees or international student fees.
Country
United Kingdom
University
University of Birmingham

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About this position
PhD opportunity in Medical AI at the University of Birmingham, School of Computer Science, with Dr Le Zhang.
This project sits at the intersection of artificial intelligence, medical imaging, computer vision, robotics, and digital healthcare. The research programme focuses on trustworthy, interpretable, and clinically relevant AI systems for 3D medical imaging, vision-language models, large language models, surgical robotics, and clinical agents.
Possible directions include 3D deep learning and generative AI for cardiac MRI, neuroimaging, retinal imaging, and multi-organ imaging; foundation models for segmentation, reconstruction, diagnosis, and prognosis; medical vision-language models for image understanding and report-guided analysis; clinical LLMs for documentation and decision support; multimodal learning from imaging, text, EHRs, genetics, ECG, and physiological signals; surgical video understanding and workflow recognition; and embodied AI for safe healthcare agents.
The post is advertised as a competition funded PhD project and notes a 4-year studentship covering UK home fees or international student fees. Applications are accepted all year round.
Applicants should have a background in computer science, engineering, biomedical engineering, mathematics, physics, statistics, robotics, or a related discipline. Strong Python programming skills are expected, and experience with machine learning, deep learning, computer vision, medical image analysis, NLP, robotics, PyTorch, or TensorFlow is desirable.
To apply, contact Dr Le Zhang with a CV, academic transcripts, and a short statement of your research interests, technical background, and preferred project direction. Informal enquiries are welcome for PhD students, research master students, and visiting scholars.
Funding details
Competition funded PhD project. Funding notes state a 4-year studentship covering UK home fees or international student fees.
What's required
Applicants should have a strong interest in AI for healthcare and a background in computer science, engineering, biomedical engineering, mathematics, physics, statistics, robotics, or a related discipline. Experience with machine learning, deep learning, computer vision, medical image analysis, natural language processing, robotics, or data science is highly valuable. Strong programming skills in Python are expected, and experience with PyTorch, TensorFlow, or other deep learning frameworks is desirable. Applicants should be self-motivated, curious, able to conduct high-quality research, communicate well, solve problems effectively, and be interested in publishing scientific work.
How to apply
Contact Dr Le Zhang by email with a CV, academic transcripts, and a brief statement of your research interests, technical background, and preferred project direction. Informal enquiries from prospective PhD students, research master students, and visiting scholars are welcome.
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