Research Fellow (Mechanism Design with Machine Learning)
The Mechanism Design Problem, which includes the broader Revenue Management problem, has garnered significant attention from both academia and industry, leading to extensive research. The focus of this investigation lies in utilizing machine learning techniques to analyze the bundling problem and other intricate aspects related to mechanism design, such as opaque selling. The primary objective is to generate novel perspectives and solution frameworks for mechanism design issues.
To accomplish this, the research fellow must closely collaborate with the Principal Investigators (PIs) to conduct thorough and intensive research. As the RF, they are expected to take the lead in the project, overseeing various tasks, including conducting numerical experiments, deriving theoretical models, and composing research papers.
- Strong mathematical background and analytical skill
- A Ph.D. degree in Industrial Engineering, Operations Research
- Strong writing skills
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Industrial Systems Engineering and Management
Employee Referral Eligible: No
Job requisition ID : 21626