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- “Risk-aware machine learning systems for safety and quality-critical applications”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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- “You can make a difference to our planet”. He/She will be required to: (a) assist in service-learning subject on logistic arrangements and administrative matters; and (b) perform any other duties
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multiple projects; (e) quality control and continuous learning including review of annotated data, participation in quality control processes, sharing experiences, and assistance in training new
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complex task automation; (c) be familiar with Python and have practical experience in NLP and machine learning basics; (d) be familiar with prompt design and model output evaluation processes; and (e
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- “Risk-aware machine learning systems for safety and quality-critical applications”. He/She will carry out research in the area of machine learning (ML) and data science, and also be required to: (a
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766