Research Fellow (Optimization - Mixed Integer Programming), ISEM

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

The Department of Industrial Systems Engineering and Management is looking for self-motivated postdoctoral researcher with a Ph.D. degree in Optimization, Operations Research or related fields.

The postdoctoral researcher will be involved in designing novel mixed-integer programming (MIP) algorithms, deriving theoretical results, and implementing numerical simulations under the supervision of Dr. Guanyi Wang.

In particular, research directions include, but not limited to, the following aspects:
• Provable relaxations and algorithms for (large-scale) decision-making problems under uncertainty, and related applications on operations research and operations management.
• Approximation algorithms for learning with geometric structures (e.g. structured sparsity) in high dimensions, and their applications in combinatorics, signal process, and data analytics.
• Machine learning or reinforcement learning based preconditioning, branching, and column/row generation methods for computationally hard mixed-integer programming.

Potential applicants should satisfy the following requirements:
• A Ph.D. degree in Optimization, Operations Research, or related fields.
• Solid research experiences and publications on optimization, especially in MIP or related fields.

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 28736