55 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University in Hong Kong
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for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an equivalent qualification and must have no more than five years of post
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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have
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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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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/She will be required to: (a) be responsible for collection, cleaning, integration
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advanced machine learning. Applicants are invited to contact Dr Yan Wang via email at yanjack.wang@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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performance simulation software (e.g. EnergyPlus, CFD, COMSOL) as well as in programming languages like Python and familiarity with AI/machine learning frameworks (e.g. PyTorch, TensorFlow). Applicants
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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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- “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the area of machine learning (ML) and data science, and also be
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qualification; (b) experience in using machine learning for research projects; and (c) have a good command of both written and spoken English. Applicants are invited to contact Prof. Yoo Hee Hwang
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C