Massachusetts Institute of Technology Postdoctoral Associate in Cambridge, Massachusetts
Job Number: 19278
Functional Area: Research - Engineering
Department: Center for Transportation & Logistics
School Area: Engineering
Employment Type: Full-Time Temporary
Employment Category: Exempt
Visa Sponsorship Available: Yes
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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)-Age Lab (two openings), to support a broad range of naturalistic driving research efforts. Will collaborate with senior researchers to explore novel data sets and design and develop new data extraction approaches from telemetry data and video; both lead and contribute to the development of joint publications, participate in conferences, and share results with laboratory partners and industry sponsors; collaborate with the research team on defining research priorities; design build, and perform analytical experiments on naturalistic driving data; and report on results with an emphasis on developing the foundations of research needed to influence the design and development of vehicle safety systems. This positions offer an opportunity to work with cutting edge naturalistic driving data and to enhance societal understanding of driver safety in areas encompassing driver attention (distraction), advanced driver assistance systems (ADAS), and other higher-level forms of automated driving.
REQUIRED: Ph.D. in industrial engineering, psychology, human factors, computer science, public health, or a demonstrably relevant field, but candidates with backgrounds and experience in experimental psychology, data sciences, machine learning, deep learning, or similar areas of expertise are also encouraged to apply. Must be able to demonstrate a record of individual initiative and originality in research. Strong analytic skills and familiarity with statistical software tools such as R, SAS, or MATLAB are also required. Job #19278This is a one‐year appointment, renewable depending upon performance and funding.2/4/21