RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION)

National University of Singapore; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

The Logistics Institute – Asia Pacific at NUS is seeking a Research Engineer to design and implement optimization models for transportation and logistics challenges. You will work on data-driven solutions, simulations, and visualizations to support decision-making.

Requirements include a degree in related fields and proficiency in Python and SQL; experience with optimization tools and simulation platforms is a plus. Location: NUS Kent Ridge Campus, Singapore.

Qualifications

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Proficiency in Python and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools) and simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Strong data visualization skills (Power BI, Tableau).

Responsabilités

• Design, build, and implement optimization models for transportation and logistics contexts.
• Develop and refine heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms).
• Utilize solvers such as Gurobi, CPLEX, and OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Create compelling visualizations using MS Power BI and Tableau.

Connaissances

Python

SQL

Formation

Bachelor's or Master's degree

Outils

Gurobi

CPLEX

OR-Tools

AnyLogic

FlexSim

Arena

AIMMS

Demo 3D

Power BI

Tableau

MS Office

Description du poste

The Role

Are you passionate about solving complex logistics and supply chain challenges through cutting-edge modeling, simulation, and data science?

The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National University of Singapore is seeking a Research Engineer to join our dynamic team and contribute to innovation that drive operational excellence.

As a Research Engineer, you will:

• Design, build, and implement optimization models tailored to transportation and logistics contexts.
• Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems.
• Utilize commercial and open-source solvers such as Gurobi, CPLEX, and Google OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Apply data-cleaning techniques and statistical analysis to understand complex datasets.
• Create compelling visualizations using MS Power BI and Tableau.

Requirements

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Those with 1–2 years of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply.

• Proficiency in Python or similar programming languages and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools).
• Familiarity with simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Skilled in data visualization tools (MS Power BI, Tableau).
• Strong command of MS Office Suite

Location: NUS Kent Ridge Campus, Singapore

More Information

Location: Kent Ridge Campus

Organization: The Logistics Institute - Asia Pacific

Department : Research

Employee Referral Eligible: No

Job requisition ID : 32506