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Le Zhang

Top university

12 months ago

PhD in Computational Methods (AI Models) for Medical Image Analysis: Generative Models, Large Vision-Language Models, Multimodal Learning, and Foundation Models University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Neurology
Biomedical Engineering
Cardiology
Radiology
Artificial Intelligence
Computer Vision
Medical Science
Robotics
Bioengineering
Deeplearning
Machinelearning
Medical Image Analysis
Visual-language Models
Multimodal Ml
Generativemodels

About this position

Are you passionate about advancing artificial intelligence in healthcare? The University of Birmingham's School of Computer Science invites applications for a fully funded PhD position focused on developing computational methods and AI models for medical image analysis. This project explores the transformative potential of generative models, large vision-language models, multimodal learning, and foundation models to address complex challenges in medical imaging.

As a PhD student, you will join a dynamic research team dedicated to creating robust and adaptive AI algorithms capable of providing accurate diagnoses, personalized treatment plans, and improved patient outcomes. The research aims to bridge domain and knowledge gaps across diverse medical scenarios, leveraging state-of-the-art machine learning techniques. Depending on your background and interests, you may specialize in developing reliable machine learning models using foundation models, generative techniques, or multimodal learning approaches.

The project is supervised by Assistant Professor Dr. Le Zhang, an expert in AI for healthcare. You will have the opportunity to contribute to high-impact research, collaborate with interdisciplinary teams, and publish in leading journals and conferences. The research areas include artificial intelligence, computer vision, data science, machine learning, bioengineering, biomedical engineering, robotics, cardiology, neurology, and radiology.

Funding: The position offers a 4-year studentship covering UK home fees or international student fees, providing financial support throughout your doctoral studies.

Eligibility: Applicants should have a good first degree in computer science, statistics, physics, engineering, or a related field. Experience with AI for healthcare projects using PyTorch and/or TensorFlow is expected. Strong programming skills (Python, C++, C, Java), excellent communication abilities, and a track record of scientific presentations or publications are preferred. English language requirements must be met as specified by the University of Birmingham.

Application Process: Applications are accepted year-round. For more information, contact Dr. Le Zhang at [email protected] or visit Dr. Zhang's academic page. Review the English language requirements here. Prepare your application materials and apply through the university's postgraduate portal.

Join us in revolutionizing medicine through innovative AI technologies and make a meaningful impact on healthcare outcomes.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should be self-motivated and enthusiastic about research in AI for healthcare, with a commitment to high-quality research. A good first degree in computer science, statistics, physics, engineering, or a related field is required. Experience with AI for healthcare projects using PyTorch and/or TensorFlow libraries is expected. Strong programming skills in Python, C++, C, or Java are preferred. Excellent oral and written communication skills, strong problem-solving abilities, and experience in presenting or preparing scientific manuscripts for journals or conferences are preferred. English language requirements must be met as specified by the University of Birmingham.

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Professors

Assistant Professor Dr. at School of Computer Science

University Name
Country flag

United Kingdom

Research Interests

Medical Imaging

Radiology

Tissue Imaging

Computer Vision

Medical Image Analysis