48 systems-engineer-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Hong Kong
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Transportation Systems in the Department of Civil Engineering (Ref.: 537509) We now invite applications for the captioned posts to work on the TIASim project, which aims to develop a Hong Kong-localised
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. Information about the Department can be obtained at https://ece.hku.hk/ . Applicants should possess a Ph.D. degree in Electrical Engineering, Computer Engineering, or a related discipline, with a strong
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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Ref.: 536424 Work type: Full-time Department: Department of Civil Engineering (14100) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Intelligent Structural
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Ref.: 536954 Work type: Full-time Department: HK Institute of Quantum Science & Technology (47300) Categories: Professoriate Staff, Senior Research Staff & Post-doctoral Fellow, Research Staff 1-2
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. Applicants should possess a Ph.D. degree in biomedical engineering, biomedical sciences, bioengineering, materials science, or a related discipline, with experience in hydrogel biomaterials, cell culture
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, and control of power systems for safe, adaptive, and resilient autonomous research platforms. Qualifications: Applicants should possess a Bachelor’s degree in Electrical and Electronic Engineering or a
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experience with marine restoration ecology. A track record of question-driven research, as evidenced by publications or other research outputs commensurate with career stage, is expected. The successful
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, information technology, engineering, or a related field. Candidates must have a minimum of four years' experience in teaching, school-based support, or project management. Strong communication skills and proficiency in
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple