Post-doctoral Fellow (Artificial Intelligence or Hardware Systems)

Times Higher Education; Hong Kong; On-site; HKD 450,000 - 650,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Career development support

State-of-the-art MRI facilities

Job summary

The University of Hong Kong’s Laboratory of Biomedical Imaging and Signal Processing (BISP Lab) within the Department of Electrical and Computer Engineering invites applications for a Post-doctoral Fellow. The role focuses on advancing MRI technologies, AI-driven image analysis, and hardware-software integration, with opportunities for clinical translation.

Successful candidates will lead independent research, collaborate with clinicians and engineers, and contribute to high-impact publications,

Qualifications

• PhD required in a closely related discipline and demonstrated strong publication record.
• Experience with AI in medical imaging or related fields is essential.
• Ability to conduct independent research and collaborate within multidisciplinary teams.

Responsibilities

• Develop AI and ML approaches for MRI image analysis.
• Design, implement, and validate deep learning models for medical imaging.
• Analyse large MRI datasets and evaluate algorithm performance.
• Collaborate with clinicians, imaging scientists, and engineers on translational projects.

Skills

Deep learning

MRI imaging

Team collaboration

Research leadership

Education

PhD in Computer Science / AI / Biomedical Engineering

Tools

Python

PyTorch

TensorFlow

Job description

Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Engineering Engineering Medical sciences Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 31 Dec 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Ref.: 537358

Work type: Full-time

Department: Department of Electrical and Computer Engineering (14300)

Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff

Post-doctoral Fellow in theLaboratory of Biomedical Imaging and Signal Processing ( BISP Lab — HKU MRI Research Laboratory ) 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.