Research Fellow/Postdoctoral Researcher (Privacy Protection in Smart Cities)
Area-Interlinking Design Analysis
5 July 2019
Open until filled
Project Title: Privacy Protection in Smart Cities
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.
We have an open position for a postdoctoral research fellow at TUMCREATE in Singapore with a background in Computer Science and a focus on privacy protection. This position is part of a research collaboration between TUMCREATE, ADSC, NUS, and NTU.
Objective and Tasks
Novel smart city systems such as widely deployed sensor networks or automated control systems pervade the very space we live in. This comes with a potential risk of privacy as these systems monitor and interact with sensitive personal data. As both the perceived and actual privacy enjoyed by citizens can have severe impacts on their well-being and trust in their government, it is critical that new smart city systems offer adequate levels of transparency and privacy protection. However, the increasing ubiquity, complexity, and interconnectivity pose privacy and maintainability challenges that need to be addressed.
In this project, we aim to alleviate this problem and introduce a privacy-by-design methodology to support privacy protection and risk assessment in complex IT systems. We aim to introduce a new privacy risk assessment method to (1) assign a measurable and tangible privacy risk to smart city system components and (2) formalise how this risk is affected by privacy-enhancing technologies and (3) how it propagates through the system. We want to develop PrivML, a Privacy Modelling Language which facilitates the modelling of complex systems from a privacy perspective. We will provide a prototype software suite that allows system engineers to conveniently interact with PrivML and exchange modelled systems with others.
What we expect from you
PhD Degree in Computer Science or similar
Strong background in Data Privacy
Proficient in at least one scripting language (e.g., Perl or Python).
Comfortable with Linux, Git, LaTeX
Ability to work independently
Motivation to learn new topics
Good communication skills
What we offer you
An international and multidisciplinary working environment
Opportunity to work on a project with real-life relevance
Work with researches from world-renowned Universities
A competitive salary
Enquiries and How To Apply Please send your complete application including cover letter, CV, university transcripts and degree certificates to email@example.com