Post-doctoral Fellow Position in Automated Material Handling Systems Research in Hong Kong
The Department of Data and Systems Engineering in Hong Kong seeks post-doctoral researchers for a project focused on optimizing automated material handling systems in semiconductor manufacturing. The research will cover semiconductor equipment scheduling, automated material handling system scheduling, and digital twin system development. Applicants must have a Ph.D. in a relevant field and possess strong programming skills and research experience, particularly in optimization and machine learning.
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The Department of Data and Systems Engineering in Pok Fu Lam, Hong Kong, is looking for post-doctoral researchers for a project on optimizing automated material handling systems in semiconductor manufacturing. The research will focus on three areas: 1) Developing optimization models for semiconductor equipment scheduling to improve processing sequences and reduce cycle times; 2) Creating adaptive scheduling algorithms for automated material handling systems to minimize transport delays; 3) Building a digital twin framework for real-time monitoring and analysis. Applicants should have a Ph.D. in a related field, strong programming skills, and relevant research experience, particularly in machine learning and operations research.
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