Post-doctoral Fellow (Artificial Intelligence or Hardware Systems)

The University of Hong Kong; Hong Kong; On-site; HKD 446,000 - 558,000; Full time

Job summary

The University of Hong Kong invites applications for a Post-doctoral Fellow in the Laboratory of Biomedical Imaging and Signal Processing within the Department of Electrical and Computer Engineering. The successful candidate will advance AI-driven MRI technologies and computational medical imaging in collaboration with clinicians, imaging scientists, and engineers.

The role focuses on developing deep learning methods for MRI analysis, handling large imaging datasets, and translating research

Qualifications

• PhD degree in Computer Science, AI, Biomedical Engineering, Medical Imaging, Medical Physics, Electrical/Mechanical Engineering or related discipline.
• Strong publication record in AI in medical imaging, computer vision, or related fields.
• Ability to conduct independent research and collaborate in multidisciplinary teams.

Responsibilities

• 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.
• Analyse large-scale MRI datasets and evaluate algorithm performance.

Skills

AI in medical imaging

Deep learning

Computer vision

Python

Education

PhD in Computer Science, AI, Biomedical Engineering, Medical Imaging, Medical Physics, Electrical / Mechanical Engineering or related discipline

Tools

PyTorch

TensorFlow

Job description

Job Description :

Post-doctoral Fellow in theLaboratory of Biomedical Imaging and Signal Processing () of the Department of Electrical and Computer Engineering (Ref.:537358)(to commence as soon as possible,on a one-year full-time basis, with the possibility of renewal subject to satisfactory performance.)

About the Position

The Laboratory of Biomedical Imaging and Signal Processing in the Faculty of Engineering is seeking an outstanding and highly motivated Post-doctoral Fellow to join the research team working on advanced MRI technologies, artificial intelligence, computational medical imaging and hardware systems.

The successful candidate will lead and contribute to innovative research projects involving AI-driven MRI analysis, deep learning methodology development, and clinical translation. The candidate will work closely with multidisciplinary collaborators, including clinicians, imaging scientists, and engineers, to develop advanced computational solutions for medical imaging applications.

Key Responsibilites

Research & Method Development

• 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.
• Analyse large-scale MRI datasets and evaluate algorithm performance.

Qualifications & Skills

Education:

• PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Medical Physics, Electrical / Mechanical Engineering, or a closely related discipline.

Research Experience:

• Strong publication / track record in in the use of artificial intelligence in medical imaging, artificial intelligence, computer vision, or related fields (AI) electrical/mechanical hardware systems (hardware).
• Demonstrated experience developing deep learning models and computational methods.
• Ability to conduct independent research and collaborate effectively within multidisciplinary teams.

Skills:

• Advanced programming skills in Python.
• Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Excellent communication and teamwork skills.

What We Offer

• A leading research environment focused on next-generation MRI and AI technologies.
• Opportunities to conduct internationally competitive research with clinical impact.
• Access to state-of-the‑art MRI systems and advanced computing infrastructure.
• Support for publication, conference participation, and career development.
• Competitive salary commensurate with qualifications and experience, with medical and dental benefits.

31 December,2026