11 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköpings-University" Fellowship positions in Hong Kong
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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extensive experience in conducting research; (c) have good computer literacy including MS Excel and Chinese word processing; (d) have experience in writing research papers and proposals; (e) have a
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experience in conducting research in ultra-precision machining field, especially in polishing or surface/subsurface characterization; and (c) demonstrated by publication in top-tier journals. Applicants
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twelve months] Duties The appointees will assist the project leader in the research project - “Towards multimodal seamless human-robot collaboration: few-shot perception and spatial skill learning with
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of artificial intelligence in language teaching and learning. He/She will be required to: (a) conduct independent and collaborative research on individual differences and second language acquisition; (b
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as a second language/educational technology and media/curriculum and instruction/development of multimedia Chinese language learning materials. Applicants are invited to contact Mr Chadwick Ngan
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of renewal for a third year is subject to satisfactory performance and mutual agreement. The successful candidate will only be required to teach one course during the first two years. Funded by the Glorious
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining