-
Department of Language Science and Technology Research Assistant (several posts) (Ref. 260918006) [Appointment period: each for twelve months] Duties The appointees will assist the project leader
-
-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
-
- “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
-
related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
-
., LangChain, AutoGen, Unity ML-Agents); and (e) experience in integrating AI/machine learning models with web applications or game engines. Applicants are invited to contact Dr Zackary P. T. Sin at telephone
-
- “Experimental investigation into the mechanisms of plasma-assisted combustion for green liquid propellants”. Qualifications Applicants should have: (a) a doctoral degree, preferably in machine learning‑driven
-
have: (a) an honours degree in Biomechanical Engineering, Apparel and Textile Design Technology, Machine Learning, Data Science or related disciplines or an equivalent qualification; and (b) good
-
Department of Language Science and Technology Part-time Research Assistant (two posts) (Ref. 260730010) [Appointment period: each for three to four months] Duties The appointees will assist
-
knowledge of machine learning and computer vision; and (d) technical skills in programming and Generative AI development. Preference will be given to those with good publication records and experience in
-
Computer Science, Artificial Intelligence, Data Science Engineering or a related discipline; (b) demonstrated expertise in foundation models, generative AI, multimodal learning, machine learning systems, model