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RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION)

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Onsite

RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION)

National University of Singapore

RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION)

Skills

SQL QueriesTableauPythonData ScienceData VisualizationSupply Chain ManagementSupply ChainPower BI

24 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

30 September 2026

What they need


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

Job description:

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

Ready to make an impact? Apply now and be part of a team that's shaping the future of logistics and supply chain innovation.

Interested applicants can submit their CV to:

The Logistics Institute - Asia Pacific

National University of Singapore

Ms. Goh Mee Leng

Associate Director

Email: [email protected]

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