Research Fellow, Industrial Systems Engineering And Management
The position is to assist PI in developing novel algorithms for adaptive sampling in statistical process control. Theoretical and numerical properties will be investigated. The candidates also needs to summarize research findings and write papers for publication.
The candidate should have strong background in statistics (or relevant fields). He/she should hold a PhD degree in relevant major, and has experience in publication. The candidate should be familiar with statistical computing algorithms and software.
Location: Kent Ridge Campus
Department: Industrial Systems Engineering And Management