Job Description

We are seeking a motivated Research Assistant (RA) to support a project on bundle pricing and consumer choice modeling. The RA will assist in developing analytical frameworks, conducting quantitative analyses, and implementing computational models to study pricing strategies and their impact on consumer behavior and firm performance. Responsibilities include literature review, data preparation, mathematical modeling, and simulation programming, as well as drafting technical notes and assisting with presentations of research findings. The position provides an excellent opportunity to gain hands-on experience in applied research at the intersection of operations management, pricing, and economics.

Job Requirements

Applicants should have strong academic training in mathematics, statistics, and quantitative modeling, with demonstrated programming skills (e.g., Python). Prior coursework or experience in optimization, operations research, or econometrics is highly desirable. Candidates must also have at least six months of prior research or professional experience in a related field, showing the ability to manage data and implement models independently. Strong analytical thinking, attention to detail, and effective communication skills are essential. This role is ideal for students or graduates interested in pursuing advanced studies or careers in research, data science, or analytical consulting.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 30682