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utilising applied economics and statistical methods such as structural modelling, causal inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both
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the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be
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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
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science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at http://www.polyu.edu.hk/ama for more information about