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) Country Hong Kong Application Deadline 1 Feb 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
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The candidate should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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. Applicants must have a PhD conferred after January 1, 2024, but not later than June 30, 2026. They will not be currently employed in tenure-track positions. A highly competitive package including medical
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references (including one from their PhD supervisor) A teaching reference (optional) Thesis Abstract (up to 1 A4 page) A research proposal for the proposed duration of the appointment. Review of applications
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pursuing a PhD degree. Applicants are invited to contact Prof. Rachel Yee Wai Yee at telephone number 2766 5608 or via email at rachel.yee@polyu.edu.hk for further information. Conditions of Service
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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Department of Industrial and Systems Engineering Research Fellow (Ref. 260306003) [Appointment period: two months] Duties The appointee will assist the project leader in the research project - “Towards digital biomanufacturing – developing physics-informed machine learning framework for the...
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Computer Science or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in path planning; (c) be
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recognition, or computer vision; (b) a good understanding of the fundamentals of robot control, cobots, or UAV path planning; relevant coursework or project experience is preferred; (c) strong hands