40 phd-in-image-processing positions at Hong Kong Polytechnic University in Hong Kong
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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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 processing technologies, especially for light alloys
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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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technologies such as React, Next.js, ES6 and HTML5/ CSS3; (d) a strong experience of server-side development such as using Node.js, MySQL, Mongodb and Linux operation; (e) experience in web services using
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess and assure
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post should have an honours degree in one of the above-mentioned disciplines or an equivalent qualification with relevant work experience. Applicants should also have: (a) good computer literacy and
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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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development of computer programmes for numerical computation of electromagnetic field and software architecture. Applicants are invited to contact Prof. Shuangxia Niu at telephone number 2766 6183 or via email
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety