33 computational-materials-chemistry-physics Fellowship positions at Hong Kong Polytechnic University
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- “Fibre-strengthened glass”. Qualifications Applicants should have a doctoral degree in Physics, Chemistry, Material Science or a related discipline and must have no more than five years of post
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post in Flame Synthesis, applicants should have research experience in combustion chemistry, materials synthesis or related fields. For the post in LCA and TEA, applicants should have experience in LCA
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to conduct laboratory work and data analysis. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification in Engineering / Chemistry / Biology and
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”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification in Medicine, Life Sciences, Chemistry, Materials Science, or related fields from a reputable University and must have
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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials engineering, machine learning or AI-related fields
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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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background in materials engineering and micro-nano mechanical testing. Applicants are invited to contact Prof. Yang Xusheng at telephone number 2766 6604 or via email at xsyang@polyu.edu.hk for further
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project - “Enhancing older adults' healthy dining with explainable AI menu recommendations”. Qualifications Applicants should have: (a) a PhD degree in Computer Science and must have no more than five
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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months] Duties The appointees will assist the project leader in the research project – “Multi-sensor-based smart sorting (MSS) system for solid waste recycling and sustainable development”. Qualifications