Research Assistant (Bachelor/Master student internship)(Model Improvement)
Electrification Suite & Test Lab
22 February 2019
Open until filled
Project title: Model improvement and validation for electric bus operation in an agent-based City Mobility Simulator
TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).
In TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
The research group Electrification Suite & Test Lab (ESTL) in TUMCREATE puts an emphasis on the interaction of the electricity grid with advanced electrified public transport systems for Singapore. Ranging from charging infrastructure optimisation to demand side management and integration of renewable energies, ESTL covers many hierarchy levels of the electrification concept in the context of the major goals of TUMCREATE.
In this topic area, a research project has been established to evaluate the optimal charging infrastructure and recharging strategies for electric buses. In order to evaluate the effect at system level, the operation of electric public buses has been modelled in the City Mobility Simulator framework (CityMoS) being actively developed at TUMCREATE. (See also Figures on next page)
The main tasks of this internship are:
To perform simulations with the existing model of electric buses and test the effect of varying the input parameters
To identify and fix misplaced infrastructure for bus operation in the road network (for example: bus stops associated with the wrong road lane, bus lines not following the correct route)
To identify issues and suggest improvements to the input data or algorithms
To propose and implement solutions to the issues and improvements to the model
To analyse the simulation results in order to validate the model
These tasks will be performed in collaboration with a Research Associate responsible for the electric bus model in CityMoS.
Figure 1: Example of a city-scale simulation with electric buses for Singapore
Figure 2: Charging power for recharging electric buses at bus termini
A video demonstrating the operation of electric buses in CityMoS as of December 2018 can be viewed at the following address: https://youtu.be/s35oOcYdCQY
Current Bachelor or Master student
Experience with programming in C++ and Python
Interest in electric mobility
Experience with working with Linux and/or Git is a plus
Motivation to learn new topics
Excellent interpersonal skills and communication skills in both written and spoken English and ability to work with people from different backgrounds and cultures
What we offer
Exposure to the state of the art research topics
An international and multidisciplinary working environment
Guidance by researchers from world-renowned universities
Opportunity for publishing in international journals and conferences
Multicultural and dynamic working atmosphere
Enquiries and How To Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to firstname.lastname@example.org