Research Assistant (Master Thesis Student/Internship)
Individual Mobility Vehicles & Services
15 March 2019
Open until filled
Project title: Powertrain Optimization of Autonomous Electric Buses
Specialization: data analysis, dynamic programming, electric vehicle powertrain
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.
More information about TUMCREATE can be found on our web pages at www.tum-create.edu.sg.
TUMCREATE is looking for a highly motivated student to conduct a master thesis or internship on the topic of powertrain optimization of autonomous electric vehicles. TUMCREATE is a research platform in Singapore that is developing a public transport system for the year 2030. The system concept that was presented consists of small electric autonomous buses that can form platoons and respond dynamically to vehicle demand. The controlled driving through autonomous technology requires the estimation of the optimal powertrain of the autonomous electric bus.
Objective & tasks
The student will be responsible for developing a method to optimize the powertrain configuration of an autonomous electric bus in the city of Singapore. The tasks include but are not limited to:
Literature research on the topic of trajectory optimization and powertrain design
Extracting speed limits and elevation of the bus routes from map data
Optimizing the vehicle trajectory for the autonomous electric bus
Modelling the vehicle powertrain based on existing models
Extending the powertrain models where necessary
Assessment of different powertrain configurations
High quality documentation in the form of a report or a thesis (if applying as a master thesis student)
What we expect from you
Deep understanding of vehicle powertrain design
Experience with MATLAB & Python is preferred
Independent, self-motivated mindset.
Fluency in English and able to work in a multicultural environment.
What we offer you
Interesting innovative research topic with publication potential.
An international and multidisciplinary environment.
A great experience in one of the most dynamic megacities in Asia.
Enquiries and How To Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to Olaf Teichert (email@example.com).