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- “Environment and conservation fund turning sewage sludge into green hydrogen and e-fuel with carbon-neutrality goals in Hong Kong: innovative process design, optimization, economic viability and environmental
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- “Monetizing used masks: innovative integrated process design, optimization, and commercial-scale comprehensive decision-making”. Qualifications Applicants should: (a) have an honours degree or an equivalent
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data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating
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or an equivalent qualification; (b) have experience in conducting research, and skills in AI for processing modelling and optimization; and (c) be proficient in English. Applicants are invited to contact Prof
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using one of the software including STATA, Python, R, or Matlab; and (c) completion of undergraduate or post-graduate level courses in Statistics and/or Optimization with good grades. Preference will
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the research project - “Mechanism and optimization for hospital bed sharing”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at least three years of postdoctoral
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: Applied Optimization and Operations Research / Data Science and Analytics / Applied Statistics and Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl Deadline
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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material