Research Engineer - Logistics and Supply Chain Optimization
National University of Singapore
Singapore · पूर्णवेळ
अर्ज करणारे पहिले व्हा
- अनुभव
- १-२ वर्षे
- पगार
- —
- रिक्त जागा
- 1
- पोस्ट केले
- 10 तास पूर्वी
- कार्य मोड
- कार्यालयात
- शिक्षण
- Bachelor or Master degree
- सारांश
- अर्ज करणे आवश्यक आहे
तुम्ही जिथे काम कराल
नोकरीचे वर्णन
About the Role
The National University of Singapore's Logistics Institute – Asia Pacific (TLI-AP) invites applications for the position of Research Engineer focused on logistics and supply chain operational challenges. This role is based at the NUS Kent Ridge Campus and involves leveraging advanced modeling, simulation, and data science techniques to enhance efficiency in transportation and logistics systems.
Responsibilities
- Develop and deploy optimization models specially designed for logistics and transportation scenarios.
- Create and improve algorithmic solutions such as heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to address complex, large-scale problems.
- Utilize solver tools including Gurobi, CPLEX, and Google OR-Tools to support optimization tasks.
- Implement simulation-driven data science applications utilizing software like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
- Conduct analysis of both historical and live data sets to generate actionable insights.
- Employ data cleansing and statistical methodologies to interpret complex datasets effectively.
- Design detailed visual representations of data using Microsoft Power BI and Tableau to facilitate understanding and decision-making.
Qualifications & Requirements
- A Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Computer Science, or a related discipline.
- Experience of between one and two years in logistics or supply chain management is advantageous but not mandatory; candidates with requisite technical skills without prior experience are encouraged to apply.
- Expertise in Python or comparable programming languages, along with SQL proficiency.
- Hands-on experience with popular optimization solvers such as Gurobi, CPLEX, and OR-Tools.
- Knowledge of simulation platforms including AnyLogic, FlexSim, Arena, AIMMS, or Demo 3D.
- Competency in data visualization tools, specifically MS Power BI and Tableau.
- Strong proficiency in the MS Office suite.
Additional Information
- Position located at Kent Ridge Campus, Singapore.
- Employee category: Research Staff within the Research Department.
- Applications should be directed to the Logistics Institute – Asia Pacific Associate Director.