Postdoc: Cutting-Edge Optimization & Learning

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore invites applications for a postdoctoral position in optimization and related areas. The successful candidate will work under Dr.

Guanyi Wang in ISEM to develop cutting-edge algorithms, prove rigorous guarantees, and implement numerical simulations. Key research areas include MILP/Quadratic Programming for large-scale problems, non-convex optimization, and structured learning.

Qualifications

• PhD in Optimization, Operations Research or related fields.
• Solid research background in Mixed-Integer Programming, Nonlinear Optimization, and/or Structured Learning Theory.
• Strong publication record in top-tier optimization journals preferred.

Responsibilities

• Work on Mixed-Integer Linear/Quadratic Programming for large-scale decision-making problems.
• Investigate non-convex optimization problems and provide theoretical analysis.
• Explore structured learning and its applications in optimization and related areas.

Skills

Mixed-Integer Programming

Nonlinear Optimization

Structured Learning

Education

PhD in Optimization/OR

Job description

The National University of Singapore invites applications for a postdoctoral position in optimization and related areas. The successful candidate will work under Dr.

Guanyi Wang in ISEM to develop cutting-edge algorithms, prove rigorous guarantees, and implement numerical simulations. Key research areas include MILP/Quadratic Programming for large-scale problems, non-convex optimization, and structured learning.