Computational methods for medical image analysis: Generative models, Multimodal Learning, Foundation models and Large Vision-Language Model

Are you a prospective PhD student looking to make a significant impact in healthcare AI? Join our dynamic research team as we delve into the transformative potential of cutting-edge technologies like generative models and foundation models.

In this project, we’re committed to developing AI models that not only tackle the complexities of medical imaging data but also bridge the domain and knowledge gaps across diverse scenarios. Our goal is to create robust and adaptive algorithms capable of providing accurate diagnoses, personalized treatment plans, and ultimately, improved patient outcomes.

Depending on your expertise and interests, you’ll have the opportunity to specialize in developing reliable machine learning models using foundation models, generative techniques, and/or multimodal learning approaches. Whether you’re passionate about advancing the foundations of AI or exploring the creative potential of generative models, this project offers a unique chance to contribute to the future of healthcare.

Join us in revolutionizing medicine through innovative applications of AI technologies. If you’re ready to tackle real-world challenges and drive meaningful change, we want to hear from you. Apply now and be part of a groundbreaking journey towards enhancing the reliability and applicability of AI algorithms in healthcare.

Candidate requirements

• Being self-motivated and enthusiastic about doing research in AI for healthcare and a commitment to supporting high quality research.
• Have a good first degree in computer science, statistics, physics, engineering, or any-related field.
• Experiences with AI for healthcare related projects using PyTorch and/or TensorFlow libraries.
• Strong programming skills such as Python, C++, C, Java are preferred.
• Excellent oral and written communication skills.
• Strong problem-solving abilities.
• Experiences of presenting or preparing scientific manuscripts in journals or conferences is preferred.

For more details about this position and application, please contact Assistant Professor Dr. Le Zhang: l.zhang.16@bham.ac.uk

Information on the English language requirements can be found here: https://www.birmingham.ac.uk/study/postgraduate/taught/apply/international-entry-requirements