Research Fellow (Mixed Integer Programming)

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

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.