The U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) has announced that MIT researchers, along with colleagues from the University of Massachusetts (UMass), received a grant to design, build, and trial a new system to incentivize people to adapt their travel choices to conserve energy.
Project: Mobility Electronic Market for Optimized Travel (MeMOT) is looking for an hourly Computer Science MS student to work as a programmer.
MeMOT 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 an app-based travel incentive tool designed to influence users’ travel choices by offering them real-time information and rewards. The project is a joint effort by researchers from MIT and UMass, and the intended hire will be working with the co-PI at UMass, Dr. Song Gao from the Civil & Environmental Engineering Department.
We are looking for a highly motivated and proactive student that will be responsible for development of DynaMIT (a simulation based DTA model system that estimates and predicts traffic conditions) for specific requirements relating to the MeMOT project. The range of responsibilities includes:
- Development and testing of extensions to the DynaMIT code base for simulation-based optimization
- Integrate energy performance computation into DynaMIT
- Test innovative simulation-based optimization algorithms and assess its computational performance
- Assist in the development and testing of the control system architecture
- Strong knowledge of C++ and experience in programming with C++
- Background in computer science/software engineering
- Knowledge of other languages such as Python, and Matlab are desirable
- Independent and self-motivated, yet able to work as part of a multidisciplinary team
Funding for $15-17/hour.