Master Thesis (Applicability of Privacy Metrics to City-scale Mobility Data)
Area-Interlinking Design Analysis
17 August 2018
Open until filled
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
In Collaboration with MIT (SMART), ETH Zuerich (SEC) and the University of California, Berkeley (BEARS), we are researching into concepts to provide resilience to the Singapore Public Transport system. In particular, we are investigating mitigation strategies should the MRT suffer from a disruption. We want to analyse different strategies to transport ‘stranded’ passengers to their destination. Possible solutions include car sharing, rail replacement bus services, targeted taxi dispatching etc. In this master thesis, these strategies shall be simulated using CityMoS, a powerful agent-based microscopic traffic simulator (see images).
Objectives & Tasks
The master student will start with a literature research study on privacy metrics and identify candidate metrics to be applied to the Singapore context. These metrics will then be evaluated and tested using real-world data regarding their benefits and limitations.
Readiness to learn new things
Strong mathematical background
Experience with SQL databases
Comfortable with LaTeX
Knowledge of Transportation Systems is a plus
Ability to work independently
Good communication skills
Fluency in English
What We Offer
An international and multidisciplinary working environment
Opportunity to work on a project with real-life relevance
Work with researches from world-renowned Universities (TU Munich, NTU Singapore)
Dr. David Eckhoff (firstname.lastname@example.org)
How To Apply
Interested candidates should send their full applications via email, including a resume, academic transcripts and a cover letter to Dr. David Eckhoff (email@example.com). We thank all applicants for the interest, but only shortlisted candidates will be notified.