Postdoc: MIP Algorithms & Nonlinear Optimization

Laplace Expert Ltd; Singapore; On-site; SGD 65,000 - 90,000; Full time

Job summary

The National University of Singapore invites applications for a Research Fellow in Mixed Integer Programming. The fellow will work under Dr Guanyi Wang to advance algorithms and theory for MILP, nonlinear optimization, and structured learning as part of a large-scale decision-making research program.

This postdoctoral role focuses on mathematical optimization, balancing rigorous analysis with numerical experiments to provide practical guarantees and scalable methods.

Qualifications

• PhD in optimization, OR or related field.
• Strong background in MILP, nonlinear optimization, or structured learning theory.
• Experience with mathematical modeling and numerical simulation.

Responsibilities

• Develop algorithms and theoretical guarantees for MILP, nonlinear optimization, and structured learning.
• Analyze non-convex optimization problems and large-scale decision-making models.
• Combine rigorous theory with numerical simulations to validate methods.

Skills

MILP

Nonlinear optimization

Structured learning

Education

PhD in Optimization/Operations Research

Job description

The National University of Singapore invites applications for a Research Fellow in Mixed Integer Programming. The fellow will work under Dr Guanyi Wang to advance algorithms and theory for MILP, nonlinear optimization, and structured learning as part of a large-scale decision-making research program.

This postdoctoral role focuses on mathematical optimization, balancing rigorous analysis with numerical experiments to provide practical guarantees and scalable methods.