Research Assistant(s)

Opportunities will be provided to drive the advancement of AI technology and develop cutting-edge solutions in the medical fields. Primary responsibility of the appointee will involve exploring and implementing advanced techniques to enhance and optimise large language models, utilising frameworks like PyTorch or TensorFlow and computer program languages like Python & R.

Applicants should have (i) a Bachelor's degree or a Master's degree in Biomedical Science, Computer Science, Information Technology, or related disciplines; (ii) strong proficiency in spoken and written English and Chinese; (iii) the ability to document project plans and reports effectively; (iv) knowledge and experience in unsupervised deep learning model; (v) experience in implementing unsupervised deep learning model and programming for statistics especially in R; (vi) solid understanding of deep learning concepts, architectures, and training techniques; (vii) proficiency in Python programming and familiarity with scientific computing libraries (e.g., NumPy, Pandas) for data manipulation and analysis; and (viii) the ability to use Javascript and Vuejs framework.

The appointee will be responsible for (a) conducting clinical trials and analysing data; (b) manipulating medical images; and (c) performing other research and technical activities as assigned.

Appointment will initially be made on contract basis for one year commencing as soon as possible, renewable subject to good performance and mutual agreement.

The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.

Opportunities will be provided to drive the advancement of AI technology and develop cutting-edge solutions in the medical fields. Primary responsibility of the appointee will involve exploring and implementing advanced techniques to enhance and optimise large language models, utilising frameworks like PyTorch or TensorFlow and computer program languages like Python & R.

Applicants should have (i) a Bachelor's degree or a Master's degree in Biomedical Science, Computer Science, Information Technology, or related disciplines; (ii) strong proficiency in spoken and written English and Chinese; (iii) the ability to document project plans and reports effectively; (iv) knowledge and experience in unsupervised deep learning model; (v) experience in implementing unsupervised deep learning model and programming for statistics especially in R; (vi) solid understanding of deep learning concepts, architectures, and training techniques; (vii) proficiency in Python programming and familiarity with scientific computing libraries (e.g., NumPy, Pandas) for data manipulation and analysis; and (viii) the ability to use Javascript and Vuejs framework.

The appointee will be responsible for (a) conducting clinical trials and analysing data; (b) manipulating medical images; and (c) performing other research and technical activities as assigned.

Appointment will initially be made on contract basis for one year commencing as soon as possible, renewable subject to good performance and mutual agreement.

The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.