108 modeling-and-simulation-post-doc Fellowship positions at Hong Kong Polytechnic University
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) Research Associate / Research Assistant (two posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the research project - “Artificial intelligence assisted
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Department of Industrial and Systems Engineering Postdoctoral Fellow (two posts) (Ref. 260925001) [Appointment period: each for twelve months] Duties The appointees will assist the project leader
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Research Institute for Federated Learning Postdoctoral Fellow (Full-time/Part-time) (two posts) (Ref. 260929011) [Appointment period: each for twelve to twenty-four months] Duties The appointees
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) have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) be proficient in both written and spoken
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Research Fellow (several posts) [Appointment period: each for two to twelve months] (2) Research Fellow (several posts) [Appointment period: each for two to twelve months] (3) Postdoctoral Fellow
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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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Assistant (two posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Development of next-generation theranostic agents
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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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- “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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posts) [Appointment period: each for sixteen months] Duties The appointees will assist the project leader in the research project – “LocGPT: Understanding indoor localization by large AI models