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Research Fellow (Mixed Integer Programming)

National University of Singapore

3.0
40 reviews
National University of Singapore
Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
Singapore
Job Title: Research Fellow (Mixed Integer Programming)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Industrial Systems Engineering and Management

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 13/07/2026

Job Description

This postdoc will work under the supervision of Dr. Guanyi Wang in ISEM at NUS to explore cutting-edge algorithms, derive rigorous theoretical guarantees, and implement numerical simulations.

The postdoc will engage in research including, but not limited to, the following areas:

  • Mixed-Integer Linear / Quadratic Programming for large-scale decision-making problem
  • Non-Convex Optimization and theoretical analysis
  • Structured Learning & Learning Applications

Job Requirements

A qualified candidate should satisfy the following requirements:

  • A Ph.D. degree in Optimization, Operations Research or related fields
  • A solid research background in Mixed-Integer Programming, Nonlinear Optimization, and/or Structured Learning Theory.
  • A strong publication record in top-tier optimization journals is preferred.

Req ID: 33719
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