Research Assistant I/Research Assistant II

University of Hong Kong

Duties & Responsibilities

Develop optimization models and algorithms for semiconductor equipment scheduling to reduce cycle times and WIP inventory.
Create efficient scheduling algorithms for Automated Material Handling Systems to minimize transport delays and improve material flow.
Build and maintain a digital twin framework integrating real-time data and simulation models for manufacturing systems.
Collaborate with research group members on algorithm development and solution implementation.
Deliver research outcomes and practical applications to industry partners in semiconductor manufacturing.
Write and submit high-quality academic papers.

Hold a bachelor's or master's degree in Automation, Computer Science, Management Science, Industrial Engineering, or related fields, or be a current PhD student.
Be proficient in at least one programming language such as C++ or Python.
Have familiarity with scheduling and path planning problem modeling and common solution methods.
Have experience with commercial solvers like CPLEX or GUROBI, or strong software development skills.
Prior experience publishing academic papers is preferred.