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- “From waste tires to value-added products: novel valorization process design, simulation, optimization and analysis”. Qualifications Applicants should: (a) have a doctoral degree or an equivalent
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into Artificial Intelligence of Things (AIoT)-related user experience (UX) design; (b) support the development of privacy-aware frameworks, tools and prototypes for AIoT systems; (c) collect, process and
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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
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required to: (a) design and conduct behavioural and neuro-imaging (e.g., EEG and fMRI) experiments with human subjects; (b) process, analyse, and explain the data collected above; (c) draft
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@JC”. He/She will be required to: (a) conduct literature reviews on research topics related to the project; (b) collect, process, and analyse project data; (c) prepare and disseminate research
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, and collaborative design; (c) optimise BIM software performance, addressing challenges like model processing, data storage, and rendering efficiency; and (d) collaborate with AI algorithm teams
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more than five years of post-qualification experience at the time of application. Preference will be given to those with related material processing and 3D printing research experience. Applicants are invited
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qualification; (b) have experience in conducting research, and skills in process systems engineering and AI for modelling industrial systems; and (c) be proficient in English. Applicants are invited
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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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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have a strong background in materials processing technologies, especially for light alloys