[Senior Research Assistant/Research Assistant I/II] in the [Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000)] (Ref.: 527520)
We now invite applications for the captioned post(s).
Job Description
We are seeking a dedicated Research Assistant to join our team. This position requires to work on a groundbreaking project focused on the analysis of lower limb medical data using machine learning.
Duties and Responsibilities
- Assist in the collection, organization, and analysis of lower limb medical data.
- Apply machine learning techniques and algorithms to analyse collected data.
- Has the working experience on one or more following fields: medical image analysis, machine learning and deep learning.
- Collaborate with researchers and students to implement standard operating procedures and enhance research efficiency.
- Excellent problem-solving skills and attention to detail.
Requirement
- A Bachelor’s degree or Higher Diploma in Engineering/Science or a related field from a recognized institution.
- Previous working experience on medical image analysis or related fields for Bachelor degree holder and/or has a MPhil degree in computer vision/deep learning/machine learning or related field.
- Familiarity with deep learning/machine learning libraries and frameworks (such as TensorFlow, PyTorch, or Scikit-learn).
- 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 1-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
This position offers a unique opportunity to work at the forefront of technology in healthcare and contribute to a project with real-world implications. If you are motivated, curious, and ready to make a significant impact in the medical field, we encourage you to apply. Enquiries about the duties of the post should be sent to Dr Nan Meng at nanmeng@hku.hk.
How to Apply
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 commence as soon as possible and continue until December 31, 2024, or until the post(s) are filled, whichever is earlier.
The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency
