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Center for Transportation & Logistics (CTL), to support the research and teaching activities related to streamline digital transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential (SCMr) and Supply Chain Management blended (SCMb) options; serve as mentor and thesis/capstone project advisor; support the development and scoping of sponsored projects with corporate partners; publish in leading academic and business-oriented journals; assist with teaching activities; and provide support for student management, events, orientations. CTL conducts research, outreach, and educational activities with a number of companies, organizations, and governments. The MIT Supply Chain Management (SCM) program is CTL's degree-granting program.
Job Requirements
REQUIRED: Ph.D. in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; in-depth research knowledge/experience in one or more of the following: data-driven logistics/supply chain, supply chain analytics, experimental methods, statistical analysis and probability, and/or machine learning/artificial intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation; interest in research, teaching, and other academic activities; and willingness to contribute to the success of the SCM program and CTL's broader mission.
9/23/2026
