Postdoctoral Associate + Job Number: 20631 + Functional Area: Research - Engineering + Department: Center for Transportation & Logistics + School Area: Engineering + Employment Type: Full-Time + Employment Category: Exempt + Visa Sponsorship Available: Yes + Schedule: Email a Friend Save Save Apply Now Job Description POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL) (https://ctl.mit.edu/) -Supply Chain Management (SCM), to develop scholarly competence by assisting on research projects with CTL research staff and Supply Chain Management program (SCM) (https://scm.mit.edu/supply-chain-education) master’s degree students, supporting teaching activities, and conducting independent research under the supervision of CTL senior researchers. SCM is CTL’s degree-granting educational program. Will support graduate-level teaching activities, conduct research, and publish in leading journals in the field; serve as mentor and thesis/capstone project advisor; support SCM research staff with the development and scoping of sponsored projects with corporate partners; publish impactful research in leading academic and business-oriented journals in the field; support SCM events, academic orientations, and/or related activities; and perform other duties as requested. 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 and experience in at least 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; publication in academic journals in the field and/or pipeline of potential publications; proficiency with coding in programming languages, preferably Python; excellent communication and presentation skills; self-motivation; and an interest in research, teaching, and other academic activities. PREFERRED: in-depth knowledge of and relevant experience with applied projects on data analytics and machine learning in the context of logistics, supply chain, operations, and/or related field; teaching experience (e.g., support, TA, or leading lectures) in courses on logistics and supply chain management and/or quantitative-oriented courses (e.g., coding, statistics, and/or mathematical modeling); and work experience in the supply chain management, logistics, or freight transportation fields. Job #206311/7/22