Research Fellow: AI-Driven Supply Chain Optimization

National University of Singapore; Singapore; On-site; SGD 78,000 - 112,000; Full time

Job summary

The National University of Singapore invites applications for a Research Fellow in Supply Chain Management at The Logistics Institute - Asia Pacific, Kent Ridge Campus. You will design optimisation models, develop ML classifiers, and implement data-driven solutions for real-world transportation contexts.

We seek a PhD holder with 1–2 years of relevant experience in logistics research, and strong skills in MILP, simulation, Python, and data visualization.

Qualifications

• PhD in industrial engineering, OR equivalent field.
• 1–2 years in logistics/supply chain or related research.
• End-to-end model delivery: data pipeline, algorithm design, validation.

Responsibilities

• Design and implement optimisation models for transport contexts.
• Develop heuristics and solvers for large-scale problems.
• Create MILP formulations for vehicle-task assignment.
• Develop simulation data science solutions for complex processes.
• Analyse historical and real-time data for insights.

Skills

Logistics & SCM experience

Optimization model design

Heuristics & solvers

MILP modelling

Discrete-event simulation

Data analysis

Machine learning

Explainability tools

Data visualization

Education

PhD in Industrial Engineering

Tools

Gurobi

CPLEX

OR-Tools

AnyLogic

AnyLogistix

FlexSim

Arena

AIMMS

Demo 3D

Python PuLP

Power BI

Tableau

SHAP/LIME

Job description

The National University of Singapore invites applications for a Research Fellow in Supply Chain Management at The Logistics Institute - Asia Pacific, Kent Ridge Campus. You will design optimisation models, develop ML classifiers, and implement data-driven solutions for real-world transportation contexts.

We seek a PhD holder with 1–2 years of relevant experience in logistics research, and strong skills in MILP, simulation, Python, and data visualization.