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"Post-doctoral Fellow/Senior Research Assistant"

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Post-doctoral Fellow/Senior Research Assistant

Post-doctoral Fellow / Senior Research Assistant

31 May 2026

Location

Pok Fu Lam, Hong Kong

The University of Hong Kong

Type

Full-time

Required Qualifications

PhD (Postdoc) / Master's (Senior RA) in Computer Vision, Deep Learning, Computer Science
3+ years research in image processing & computer vision
Python, PyTorch, OpenCV proficiency
Deep learning optimization & AI deployment experience
Publications in high-impact journals/conferences prioritized

Research Areas

Medical Image Processing
Computer Vision
Deep Learning
Machine Learning
Image Segmentation/Detection/Classification
CT, MRI, X-ray, Ultrasound
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Post-doctoral Fellow/Senior Research Assistant

Post-doctoral Fellow/Senior Research Assistant

The University of Hong Kong

Apply now Ref.: 534478

Work type: Full-timeDepartment: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000)

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

Hong Kong

Applications are invited for appointment as Post-doctoral Fellow/Senior Research Assistant in the Department of Orthopaedics and Traumatology, School of Clinical Medicine (Ref.: 534478), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance.

Research Context & Project Background

The Department of Orthopaedics and Traumatology, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes.

The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative treatments.

Duties and Responsibilities

  • Conduct research on medical image processing algorithms based on computer vision, deep learning and machine learning. Medical imaging modalities cover including but not limited to CT, MRI, X-ray and ultrasound images. Research tasks cover including but not limited to image segmentation, detection, classification, keypoint recognition, image registration, image synthesis, etc.
  • Lead independent research projects and collaborate with partner medical institutions to complete the development, evaluation, translation, integration, deployment and other workflows of medical imaging-related algorithms.
  • Deliver research outputs and achievements, including but not limited to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals.

Requirements

  • Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant.
  • Applicants with a PhD degree in the above-mentioned areas are eligible to apply for the position of Post-doctoral Fellow. 
  • Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms. Preference will be given to those familiar with the principles of various medical imaging technologies, and possess extensive experience in developing deep learning algorithms
  • Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required.
  • Candidates with experience in quantitative CT algorithms, orthopedic imaging algorithms or other related fields are prioritized.
  • Candidates with publications as first author in high-impact journals (medical or AI domains) or top-tier AI conferences are prioritized.

Remuneration and Benefits

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. 

Application procedure

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 31 May 2026, or until the post is filled, whichever is earlier. Enquiries about the duties of the post should be sent to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk).

Advertised:Feb 13, 2026 (HK Time)

Applications close:May 31, 2026 (HK Time)

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Frequently Asked Questions

🎓What qualifications are required for Post-doctoral Fellow or Senior Research Assistant?

Applicants need a PhD in Computer Vision, Deep Learning, Computer Science, Image Processing, or Biomedical Engineering for Post-doctoral Fellow; Master’s for Senior Research Assistant. Minimum 3 years research experience in image processing algorithms with solid computer vision foundation is essential. Preference for medical imaging knowledge, deep learning development, and first-author publications in high-impact journals or top AI conferences. Check postdoc success tips or explore postdoc jobs.

🔬What are the main duties in this medical imaging research role?

Conduct research on medical image processing using computer vision, deep learning, and machine learning for modalities like CT, MRI, X-ray, ultrasound. Tasks include image segmentation, detection, classification, keypoint recognition, registration, synthesis. Lead projects, collaborate with medical institutions for algorithm development, evaluation, deployment. Deliver outputs like patents, academic papers, grant proposals. See related research jobs.

📝How to apply for this University of Hong Kong Orthopaedics position?

Apply online via the University portal, uploading an up-to-date C.V.. Reference: 534478. Review starts immediately, closes 31 May 2026 or when filled. Enquiries to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk). Position starts ASAP for 1-3 years, renewable. Prepare your academic CV effectively.

💻What skills and experience are prioritized for this role?

Excellent programming skills in Python, PyTorch, OpenCV; experience in deep learning model optimization and AI deployment. Prioritized: quantitative CT algorithms, orthopedic imaging, publications as first author. Familiarity with medical imaging technologies (CT, MRI, etc.) is key. Gain insights from research assistant tips adaptable here.

💰What remuneration and benefits does the position offer?

Highly competitive salary based on qualifications and experience, plus annual leave and medical benefits. No fixed range specified; commensurate with expertise in medical AI research. Full-time in Hong Kong's Greater Bay Area with advanced facilities. Explore similar research roles for benchmarks.

🎯What research context and areas will I work on?

Join multidisciplinary team advancing computer vision and deep learning for medical imaging analysis in Orthopaedics and Traumatology. Focus: image segmentation, detection, synthesis for improved diagnostics. Leverage clinical resources in Greater Bay Area. Related: clinical research jobs.
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