109 post-doc-machine-learning Fellowship positions at Hong Kong Polytechnic University
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-science and signal-analysis tasks, including processing experimental signals, integrating datasets, developing machine-learning models, and mapping measured fuel properties to SAF performance. For the post
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Aviation Services Research Centre Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 260917016) (1) Postdoctoral Fellow (two posts) (2) Research Associate / Research Assistant (two
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the research project - “Fabrication of functional surfaces by ultra-precision machining for optical application”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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) (several posts) [Appointment period: each for one to twelve months] (2) Research Fellow / Project Fellow (Full-time/Part-time) (several posts) [Appointment period: each for one to twelve months] (3
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) (several posts) [Appointment period: each for one to twelve months] (2) Research Fellow / Project Fellow (Full-time/Part-time) (several posts) [Appointment period: each for one to twelve months] (3
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– “Smart ultra-precision machining for damage-free diamond wafers”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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Department of Computing Postdoctoral Fellow (four posts) (Ref. 260915011) [Appointment period: each for eighteen months] Duties The appointees will assist the project leader in the research project
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analysis and application of machine learning techniques to structured numerical and unstructured textual data; (d) have a good track record of academic writing, including report writing, manuscript
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publications at major machine learning, AI or closely related conferences and journals; and (b) good communication and writing skills in English. Applicants are invited to contact Prof. Qiu Anqi via email at