POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, to assume a position in the ITS (Intelligent Transportation Systems) Lab in the field of mobility simulation. The lab is spearheading several projects on the planning, design, and operation of future passenger and freight systems. Research on mobility simulation has been at the center of the development of innovative tools to evaluate future urban transportation scenarios. The Mobility Electronic Market for Optimized Travel (MeMOT) is an innovative app-based travel incentive tool that aims to influence travelers' trip making, mode, route, departure time choices, and driving style toward system-wide optimal travel behavior and energy consumption. MeMOT is designed to influence users' travel choices by offering them real-time information and rewards that can be redeemed for goods and services. The research team is developing a simulation-based tool as support for the personalized incentive decision making.
REQUIRED: a strong background in computer science and/or transportation simulation in order to lead the development of the simulation support technology; excellent academic standing; ability to conduct research on transportation simulation development and to understand/recode traffic simulation software; and knowledge of Linux and C++ (or C) environments. Practical or research experience in agent-based simulation architectures preferred; as is knowledge of the software development process, software design specifications, and project and team management. Experience with big data, high performance computing, scalability, and visualization-driven analysis is also preferred. Job #13793
In addition to applying online via the MIT website, interested candidates should send a CV, motivation letter, and list of two references electronically to Professor Moshe Ben-Akiva at email@example.com.
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, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.