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Postdoctoral Associate-Responsive Integrated Mobility Systems
Massachusetts Institute of Technology in Cambridge, Massachusetts
 
 
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Date Posted 05/04/2021
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

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, Urban Studies and Planning (DUSP), to join the JTL Urban Mobility /Transit Lab, an interdisciplinary research group, brings data analytics, behavioral science, and transportation technology together to shape travel behavior, design mobility systems, and improve transportation policies. A particular focus of the group is transit-centric multimodal system design, building on the MIT Transit Lab’s decades of collaboration with leading public transit agencies around operations, data analytics, customer behavior, policy, and planning.  Professor Jinhua Zhao leads the research group as well as the wider MIT Mobility Initiative , which facilitates innovative mobility-focused research collaborations across the Institute.  Responsibilities will include exercising independent judgment when implementing projects and developing specific tools for research sponsors (e.g., public transit agencies, industry consortia, federal departments, etc.); helping manage the research group’s shared data integration and computational resources; co-authoriting and revising journal articles with graduate students and other researchers in the lab (estimate two to three per year); collaborating with other research staff in the group on proposals for funding internal and external to MIT; and performing other duties as assigned. 


Job Requirements
REQUIRED:  Ph.D. in civil engineering, urban planning, computer science, operation research, industrial engineering, or a related field by the start of the appointment; demonstrated ability to manage large datasets and collaborate with research teams; and a record of research that can contribute to shaping the future of urban transportation and mobility.  Must have experience with spatial and network analysis and optimization; machine learning; and statistical, econometric, or other relevant methods. Job #19558

A commitment of at least two years is expected.  The start time is July 2021.

5/3/21


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