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; (d) excellent communication skills; and (e) strong organisational and time management skills. Applicants are invited to contact Prof. Di Zou at telephone number 3400 3654 or via email daisy.zou
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project - “Adaptive interleaves for sustainable, out-of-autoclave manufacturing of high-performance CFRP structures in large aircraft”. Qualifications Applicants should have a doctoral degree in Materials
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qualitative data; (c) prepare reports and manuscripts; (d) develop and evaluate digitally-mediated programmes; (e) liaise with different organisations to support recruitment of participants; (f
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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
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, developing and applying AI technology to large medical images and genetic data for understanding brain development and aging, and precision psychiatry. In the past years, the laboratory has conducted various
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industrial foundation models by integrating heterogeneous industrial information, including vibration signals, motor current signals, time-frequency representations, operating parameters, and textual fault
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skills in scientific computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with
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) assist in publishing research findings in peer-reviewed journals and making presentation at conferences; and (e) collaborate with a multidisciplinary team of researchers and industry partners
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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carbon air travel in Hong Kong”. They will be required to be involved real-time monitoring of the new biorefinery process for SAF production, signal/data analysis, AI-assisted modelling, sensor and data