617 computer-science-programming-languages-"St"-"ST"-"St"-"FEMTO-ST" positions in Hong Kong
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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, especially AI; (c) the ability to work independently; and (d) high proficiency in academic English writing. Applicants are invited to contact Prof. Di Zou at telephone number 3400 3654 or via email at
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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to six months] Duties The appointees will assist the project leader in the project - “Technology-powered English Across the Curriculum” in supporting the development of English language enhancement IT
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Applicants should have: (a) a master’s degree or a good honours degree in Design, Computer Science or related disciplines; (b) experience in researching or developing educational technologies, especially
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: Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl Deadline: none (posted 2025/09/11) Position
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) Country Hong Kong Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Kong Application Deadline 24 Mar 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Ref.: 533182 Work type: Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Professor/Associate
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and