31 phd-agent-based-modelling Fellowship positions at Hong Kong Polytechnic University
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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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progress deviation monitoring system (ACPDM) based on mobile mapping system”. He/She will be required to: (a) participate in the design, development and maintenance of BIM software or plugins; (b
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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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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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twelve months] Duties The appointees will assist the project leader in the research project - “Develop a vision-language model-based smart driving assistant for enhancing safety and convenience
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. Qualifications Applicants should have: (a) a PhD degree in Public Health, Housing Studies, Urban Planning or related disciplines or an equivalent qualification and must have no more than five years of post
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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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