Postdoctoral Associate – HigherEdJobs

Job Number: 19084

Functional Area: Research – Engineering

Department: Center for Transportation & Logistics

School Area: Engineering

Employment Type: Full-Time

Employment Category: Exempt

Visa Sponsorship

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found
together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at
this opportunity.

POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL)-Supply Chain Management (SCM), to assist with research projects,
support teaching activities, and conduct independent research. MIT SCM has
been CTL’s degree-granting program since 1998. It is delivered in two formats–a ten-month
residential (SCMr) option and a blended (SCMb) option allowing MITx
credential holders to earn an MIT master’s degree by completing one term on campus. Will support research and teaching
activities related to streamline machine learning and data analytics applied in logistics and supply chain management; support
graduate-level teaching activities for both SCM programs; serve as mentor and thesis/capstone project advisor; support SCM research staff in
the development and scoping of sponsoring projects with corporate partners; publish research in leading academic/business-oriented journals,
with emphasis on machine learning and data analytics; assist with teaching activities, with emphasis on machine learning and data analytics;
support for student management, events, orientations, and/or other activities; and perform other duties as needed. 

Job Requirements

REQUIRED: Ph.D. in supply chain management/logistics/transportation/operations management/industrial
engineering/operations research/computer science/information system/business management/related field; in-depth research knowledge in and
experience with at least one of the following–data-driven logistics/supply chain, supply chain analytics, statistical analysis and
probability, and/or machine learning/artificial intelligence; publications in academic journals in the field and/or pipeline of potential
publications; proficiency coding in programming languages, preferably Python; excellent communication and presentation skills; and

PREFERRED: in-depth knowledge of and relevant experience in applied projects on data
analytics and machine learning in the context of logistics, supply chain, operations, and/or related field; and teaching experience in
courses on logistics and supply chain management and/or any quantitative-oriented courses (e.g., coding, statistics, mathematical modeling).

Job #19084


MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, veteran status, or disability.

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