Post-doctoral Fellow in the Department of Orthopaedics and Traumatology

Updated: 3 months ago
Job Type: FullTime
Deadline: 31 Mar 2024

2 Dec 2023
Job Information

Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)

Hong Kong
Application Deadline

31 Mar 2024 - 00:00 (UTC)
Type of Contract

Job Status

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Work type: Full-time
Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000)
Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff

Post-doctoral Fellow in the Department of Orthopaedics and Traumatology (Ref.: 523965) 

We now invite applications for the captioned post.

Duties and Responsibilities

  • Be able to work individually on a project related to one or more the following aspects: deep learning for medical vision, 3D reconstruction, 3D modeling and rendering, depth sensing, computer graphics.
  • Coordinate data collection, processing, and analysis for enhanced efficiency and accuracy.
  • Undertake essential engineering tasks for seamless project execution.
  • Report progress and deliverables punctually on a weekly basis.
  • Conduct cutting-edge research and prepare academic articles individually.
  • Mentor and supervise graduates, undergraduates, and research assistants for their professional growth.
  • Actively participate in grant proposal writing to secure funding for innovative projects.
  • Applicants should also have keen interests in medical applications, software and platform development as well as strong technical knowledge and skills in computer graphics and 3D sensing related fields.
  • Requirements

  • Applicants should possess a Ph.D. degree or equivalent in Engineering/Science or a related field which meets the criteria as set out in the guidelines of the Innovation and Technology Commission (ITC) ( ). 
  • Familiar with deep learning toolbox (PyTorch, Tensorflow, Keras, etc) and classical framework. Has rich experience in one or more following fields: computer graphics, computer vision, 3D modelling, 3D Rendering, depth sensing, etc.
  • Have rich experience in developing deep learning models.
  • Have work experience on Unix/Linux OS.
  • A good interpersonal and communication skills.
  • Good coordination, organizational and problem-solving skills.
  • Be highly motivated with a strong sense of responsibility and the ability to work independently and in a team.
  • Good time management skill and can deliver projects in time.
  • Knowledge in research equipment setup or chemical handling would be an added advantage.
  • What We Offer

    The appointment will commence as soon as possible on a temporary basis for 1 to 2 year(s), with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

    How to Apply

    The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site ( ) and upload an up-to-date C.V. Review of applications will start Dec 16, 2023, and continue until March 31, 2024, or until the post is filled, whichever is earlier.

    Additional Information
    Work Location(s)
    Number of offers available
    Hong Kong
    Pok Fu Lam, Hong Kong

    Where to apply


    Pok Fu Lam, Hong Kong


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