Job Overview
We are seeking an operations-focused and technically savvy Lecturer in Logistics Technology to join our faculty. As supply chains move from manual processes to AI-driven, automated ecosystems, our department is leading the effort to train professionals who can manage this transition. Your role is to bridge the gap between logistics theory and the cutting-edge technology that powers global trade, preparing students to manage digital, efficient, and resilient supply chains.

Job Responsibilities
Instructional Delivery: Lead courses in Logistics Systems, Supply Chain Management (SCM), Warehouse Automation, Transportation Technology, Inventory Optimization, and the integration of IoT and Blockchain in Logistics.

Curriculum Innovation: Develop a curriculum that integrates emerging tech, including Autonomous Vehicles/Drones in delivery, AI for demand forecasting, and Cloud-based SCM platforms.

Applied Simulation Labs: Manage hands-on workshops using industry-standard tools and simulations, such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and SCM simulation software.

Research & Scholarship: Engage in research on supply chain resilience, the "Green Logistics" movement, digital logistics transformation, or the optimization of last-mile delivery systems.

Industry & Career Mentorship: Connect students with logistics firms, tech providers, and 3PL (third-party logistics) companies. Facilitate industry projects that challenge students to solve real-world efficiency bottlenecks.

Capstone Oversight: Guide capstone projects that require students to build a comprehensive, tech-enabled logistics solution—such as optimizing a delivery network or implementing a real-time tracking architecture for a medium-sized enterprise.

Departmental Collaboration: Collaborate with faculty in engineering and business departments to provide an interdisciplinary perspective on the future of global logistics.

Job Requirements
Education: Master’s degree in Logistics, Supply Chain Management, Operations Research, Engineering, or a related field (a PhD is strongly preferred).

Experience: 3+ years of professional experience in logistics, supply chain management, warehousing, or operations technology, combined with prior teaching experience.

Technical Skills:

Practical experience with enterprise SCM software (e.g., SAP, Oracle, Blue Yonder, or similar).

Familiarity with data-driven logistics tools (Power BI, Tableau, Python for data analysis).

Knowledge of the "physical internet" and hardware integrations (RFID, barcode scanners, automated conveyor systems).

Soft Skills:

Systems Thinking: Ability to view a supply chain as a complex, interconnected system and identify how technology can improve specific nodes within that system.

Translational Ability: Skill in explaining technical logistics concepts (e.g., algorithmic routing, EDI integration) to business students and operational constraints to engineering students.

Problem-Solving: A pragmatic approach to managing operations in a fast-paced, high-pressure, and globalized environment.

Adaptability: A keen interest in staying ahead of the rapidly changing logistics tech landscape (e.g., the move toward autonomous supply chains).

Benefits
Competitive Compensation: Attractive academic salary package with potential for research grants and industry consulting.

Professional Development: Support for industry certifications (e.g., CSCP, CLTD), attendance at premier supply chain conferences, and access to the latest logistics software suites.

Collaborative Environment: Access to an interdisciplinary faculty that values innovation in operations, engineering, and digital management.

Comprehensive Benefits: Full insurance coverage, academic leave, and retirement benefits in accordance with local labor laws.

Career Growth: Defined pathways toward Tenured Associate Professor, Program Director, or Supply Chain Innovation Lead.

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