Post-doctoral Fellow in Artificial Intelligence or Hardware Systems
Join the Laboratory of Biomedical Imaging and Signal Processing to drive AI-powered MRI analysis and advanced hardware systems.
Best for:Best for computer vision and deep learning researchers with a background in medical imaging or hardware systems looking to translate AI into clinical practice.
Overview
The Laboratory of Biomedical Imaging and Signal Processing at the University of Hong Kong invites applications for a Post-doctoral Fellow to advance research in computational medical imaging, artificial intelligence, and hardware systems. The successful candidate will spearhead innovative projects involving deep learning methodology, AI-driven MRI analysis, and clinical translation. Working alongside a multidisciplinary team of clinicians, imaging scientists, and engineers, the fellow will develop cutting-edge computational and hardware solutions. The appointee will enjoy access to state-of-the-art MRI infrastructure and receive dedicated support for conference participation and career growth.
What you'll do
- Develop novel artificial intelligence and machine learning approaches for MRI image analysis.
- Design, implement, and validate deep learning algorithms for medical imaging applications.
- Conduct independent research and contribute to the advancement of computational MRI methods.
- Analyze large-scale MRI datasets and evaluate algorithm performance.
- Collaborate closely with multidisciplinary teams including clinicians, imaging scientists, and engineers.
Requirements
Degree required: PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Medical Physics, Electrical / Mechanical Engineering, or a closely related discipline.
Language: English
Instruction: English
Publications: Strong publication track record in artificial intelligence in medical imaging, computer vision, or related fields.
- Demonstrated experience developing deep learning models and computational methods.
- Advanced programming skills in Python.
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
- Ability to conduct independent research and collaborate effectively within multidisciplinary teams.
Funding & terms
How to apply
Deadline: 2026-12-31 · open until filled
Applicants must submit their application online through the university portal. Ensure an up-to-date CV is uploaded during the submission process. Review of applications will continue until the position is filled.
- CV
Contact
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