Research Assistant(s)

CUHK

6d ago

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Key details

Work style
Onsite
Level
Entry level
Function
Science & Research
Focus area
other
Posted
6d ago

Skills

algorithmsartificial intelligencedeep learningmachine learningpytorchtechnical supporttensorflow

About the role

The Department of Ophthalmology and Visual Sciences (DOVS), working with more than 200 ophthalmologists and visual scientists in Hong Kong and Chinese Mainland, is committed to advancing patient services, research, and training and education to the highest quality in all major areas of Ophthalmology and Visual Sciences. We are looking for candidates to take up positions in our clinical and research programmes on disease entities, including glaucoma, diabetic retinopathy and other retina diseases. We are highly committed to supporting the career development of all staff members.

Applicants should have (i) a Bachelor’s degree or above, preferably in computer science related field; (ii) proficiency in machine learning or deep learning algorithms; (iii) strong programming skills of deep learning tools, e.g., TensorFlow, PyTorch, etc.; and (iv) demonstrated responsibility, integrity, and high self-motivation. Experience in medical image analysis, deep learning algorithms, foundation model and generative artificial intelligence model development is an added advantage.

Duties include (a) undertaking research and development of deep learning algorithms, foundation model, and generative artificial intelligence model; (b) participating in medical image analysis projects and key technical challenges, providing corresponding technical support; and (c) participating in scientific research projects and encouraging the publication of high-quality papers.

Opportunities include (1) being involved in landmark research projects and publications; (2) working alongside leading researchers in the field of ophthalmology; (3) gaining valuable experience and skills that are transferable to future career advancement; and (4) academic development if applicant is interested in a postgraduate degree.

Appointment will initially be made on contract basis for up to six months, renewable subject to good performance and mutual agreement.

The Department of Ophthalmology and Visual Sciences (DOVS), working with more than 200 ophthalmologists and visual scientists in Hong Kong and Chinese Mainland, is committed to advancing patient services, research, and training and education to the highest quality in all major areas of Ophthalmology and Visual Sciences. We are looking for candidates to take up positions in our clinical and research programmes on disease entities, including glaucoma, diabetic retinopathy and other retina diseases. We are highly committed to supporting the career development of all staff members.

Applicants should have (i) a Bachelor’s degree or above, preferably in computer science related field; (ii) proficiency in machine learning or deep learning algorithms; (iii) strong programming skills of deep learning tools, e.g., TensorFlow, PyTorch, etc.; and (iv) demonstrated responsibility, integrity, and high self-motivation. Experience in medical image analysis, deep learning algorithms, foundation model and generative artificial intelligence model development is an added advantage.

Duties include (a) undertaking research and development of deep learning algorithms, foundation model, and generative artificial intelligence model; (b) participating in medical image analysis projects and key technical challenges, providing corresponding technical support; and (c) participating in scientific research projects and encouraging the publication of high-quality papers.

Opportunities include (1) being involved in landmark research projects and publications; (2) working alongside leading researchers in the field of ophthalmology; (3) gaining valuable experience and skills that are transferable to future career advancement; and (4) academic development if applicant is interested in a postgraduate degree.

Appointment will initially be made on contract basis for up to six months, renewable subject to good performance and mutual agreement.

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