A Research Platform for Singapore

Research Associate/PhD Candidate (IMVS)

Department:Individual Mobility Vehicles & Services
Posted Date:5 December 2018
Closing Date:Open until filled
Hours:Full Time
Duration:Fixed Term

Research Associate/PhD Candidate:

End-to-end Deep Learning Algorithm Development for Autonomous Level 5 Vehicles

TUMCREATE Phase II in Singapore

Individual Mobility Vehicles and Services (IMVS)

Availability: January 2019

Working location: Singapore

Send applications to: aybike.ongel@tum-create.edu.sg

 

About TUMCREATE

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).

TUMCREATE is made up of over 100 scientists, researchers and engineers 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 by viewing our web pages at http://www.tum-create.edu.sg/ 

 

About this position

The IMVS team in TUMCREATE develops concepts and technologies for a new electrified and autonomous vehicle for Singapore. This vehicle will be operated in a new public transportation system with adapted infrastructure and dynamic routing. The impacts of such a system, in terms of costs, energy consumption, and road infrastructure, are investigated.

 

 

Objective & Tasks

The elimination of the driver poses numerous challenges in the development of level 5 vehicles. In addition to control using classic control algorithms, it is also possible to completely control the vehicle via an artificial neural network using the "end-to-end deep learning approach". This artificial neural network is only trained by images and vehicle data, so that it can completely take over the driving task.

IMVS team is looking for a PhD candidate with deep knowledge in autonomous driving and a great enthusiasm for artificial intelligence. The candidate will develop an end-to-end deep learning algorithm for the complete control of an autonomous vehicle. This novel approach will then be compared with conventional methods of autonomous vehicle control. The project work will be carried out in Singapore.

 

Requirements

  • Above-average university degree in one of the following fields: mechanical engineering, mechatronics, electrical engineering or computer science
  • Very good knowledge in the field of automotive engineering
  • Very good knowledge in the field of artificial intelligence
  • Good knowledge of Python, Matlab, as well as programming in C, C++, C#
  • Experience with Linux and database systems
  • Business fluent English skills required
  • Readiness for a stay abroad

 

What we offer you

  • Innovative and interdisciplinary research environment
  • Supervision from experienced automotive engineers
  • Dynamic, young and self-defined work environment
  • Financial Support
  • Medical insurance

 

Enquiries

Dr Aybike Ongel: aybike.ongel@tum-create.edu.sg 

 

How to apply

Please send your complete application including cover letter, CV, university transcripts and degree certificates to Dr Aybike Ongel: aybike.ongel@tum-create.edu.sg 

Top