39 computer-vision-and-machine-learning Fellowship positions at Hong Kong Polytechnic University
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of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766 6605 or via email at jianguo.lin@polyu.edu.hk for further information. Conditions
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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 common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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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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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250723007) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project
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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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. Applicants for the Research Assistant post should have an honours degree or an equivalent qualification. For both posts, applicants should also have strong background in applied or computational mathematics
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Department of Computing Postdoctoral Fellow / Part-time Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 250725004