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The appointees will assist the project leader in the research project – “Listenability of disclosures: Evidence from machine learning”. Qualifications Applicants should have: (a) an honours degree or
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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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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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- “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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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
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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) conduct high-quality research in the field
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be