Post-doctoral Fellow in Artificial Intelligence or Hardware Systems
Join the Laboratory of Biomedical Imaging and Signal Processing to advance AI-driven MRI technologies and computational medical imaging.
Best for:Best for researchers with a PhD in computer science, biomedical engineering, or related fields, and strong expertise in deep learning, Python, and PyTorch or TensorFlow.
Overview
The Laboratory of Biomedical Imaging and Signal Processing at the University of Hong Kong is seeking a Post-doctoral Fellow to conduct innovative research in advanced MRI technologies, artificial intelligence, computational medical imaging, and hardware systems. The successful candidate will develop and validate deep learning algorithms, analyze large-scale MRI datasets, and collaborate with multidisciplinary teams including clinicians and engineers. The position offers a stimulating research environment with state-of-the-art infrastructure and opportunities for high-impact clinical translation. Applicants must hold a PhD in a relevant technical or scientific discipline and demonstrate strong programming and research skills.
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 or track record in artificial intelligence, computer vision, medical imaging, or hardware systems.
- Advanced programming skills in Python
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow
- Demonstrated experience developing deep learning models and computational methods
- 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 applications online through the University's recruitment portal. An up-to-date curriculum vitae must be uploaded as part of the online application process.
- CV
Contact
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