We are seeking a versatile academic to join our faculty, with expertise in both Logistics and Supply Chain Management (LSCM) and Quantitative Methods (QM). The ideal candidate will teach across disciplines, integrating operations theory with data-driven decision-making. A minimum of 3 years’ tertiary-level teaching experience in these subject areas is required.
Minimum Qualifications:
- Master’s degree in Supply Chain Management, Operations, Logistics, Industrial Engineering, Business Analytics, or related quantitative field (PhD preferred).
- Minimum 3 years of higher education teaching experience in both logistics/supply chain and quantitative analysis.
- Strong foundation in SCM topics (e.g., procurement, inventory, transportation, warehousing) and quantitative/statistical techniques (e.g., forecasting, optimization, decision analysis).
- Proven ability to integrate theory with practical applications and analytical tools.
Key Responsibilities:
- Deliver undergraduate and postgraduate courses in logistics, operations, and quantitative methods.
- Develop and update course materials aligned with learning outcomes and industry practices.
- Design applied assessments using real-world logistics data and quantitative tools.
- Supervise capstone projects, theses, or student consultancy work related to SCM and analytics.
- Participate in academic administration, curriculum development, and quality assurance.
- Engage in scholarly activities and contribute to research and/or consultancy projects.
Desirable Competencies:
- Proficiency with tools such as Excel (advanced), SPSS, R, Python, or Tableau/Power BI.
- Familiarity with supply chain technologies (e.g., ERP, SCM systems, SAP).
- Industry certifications like CSCP, SCOR, or Lean Six Sigma are an added advantage.
- Experience in simulation software (e.g., Arena, AnyLogic) or logistics modeling tools.
- Capability to teach both analytical and applied SCM subjects.