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POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL)-MIT Megacity Logistics Lab MLL), to support research and teaching activities in the area of logistics and supply chain management (SCM) This involves conducting research and disseminating knowledge in support of the research projects of Dr. Matthias Winkenbach and the MLL Lab, supporting Dr. Winkenbah's graduate-level teaching activities, and conducting independent research.
CTL conducts research, outreach, and educational activities in collaboration with a number of companies/organizations/governments; and runs a portfolio of SCM programs.
MLL, led by Dr. Matthias Winkenback, conducts research in the field of urban last-mile logistics. The group solves real-world design, planning, and operational problems around urban freight mobility and policy design; teaches a graduate course on urban last-mile logistics; and collaborates with research sponsors from the private and public sectors.
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 knowledge of and experience with one of the following: data-driven logistics/supply chain management, supply chain analytics, statistical analysis and probability, optimization, simulation, and/or machine learning/artificial intelligence; publications in academic journals in the field and/or strong pipeline of potential publications; proficiency with coding in programming languages, preferably Python; excellent communication and presentation skills; and self-motivation. PREFERRED: in-depth knowledge of and relevant experience with applied projects using operations research, data science, and/or machine learning in the context of logistics, transportation, supply chain management, operations, and/or related fields; teaching experience in courses on logistics and supply chain management and/or any quantitatively-oriented courses (e.g., coding, statistics, and/or mathematical modeling); and work experience in the supply chain management, logistics, or freight transportation fields. Job #22113
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