Cooperative Connected and Automated Mobility (CCAM) systems will become a reality in the coming years thanks to improved connectivity and digitalization, and the evolution of solutions based on artificial intelligence and big data analytics. This will give rise to new cyberattack surfaces and vectors becoming new challenges in the cybersecurity domain. CCAM related services and products will require high resilience to prevent mobility services disruption and human harm in case of fraud, cyberattack or cyberterrorism events. Such systems’ resilience heavily relies on the data and information collected by the CCAM systems and their fusion, sharing and processing. Therefore, guaranteeing a secure flow of generated and processed data between all stakeholders is vital for a correct, efficient, and robust management of the different services and systems in the CCAM context.
In the context of CCAM systems security, the Dynamics and Control group at Eindhoven University of Technology has an 2.5 years opening for a postdoctoral researcher to work on the following scientific goals. The development of: 1) control and monitoring schemes and communication protocols for detection, isolation, and response to cyberattacks on CCAM systems (in particular for cooperative and autonomous driving applications); and 2) a privacy-utility framework that allows designing privacy-preserving mechanisms (realized by different technologies, e.g., homomorphic encryption and differential/information-theoretic privacy) that guarantee that sensitive information in the CCAM system (e.g., visited locations, driving behavior, drivers/pedestrians faces, vehicle license plates, etc.) is hidden while maintaining the utility of the original data.
This project is part of the Horizon Europe project (HORIZON-CL5-2021-D6-01 – 101069748): Self-assessment, protection & healing tools for a trustworthy and resilient CCAM (SELFY); https://www.linkedin.com/company/selfy-project/about/; https://eurecat.org/en/portfolio-items/selfy/. So, interaction with other European partners of the project will be fostered.
Research and Couching Team:
Dr.ir. Carlos Murguia (https://research.tue.nl/en/persons/carlos-murguia-rendon);
Dr. Erjen Lefeber (https://www.tue.nl/en/research/researchers/erjen-lefeber/);
Prof.dr.ir. Nathan van de Wouw (https://www.tue.nl/en/research/researchers/nathan-van-de-wouw/).
The starting dates are flexible but before November 2022.
For extra information and application please visit: https://jobs.tue.nl/en/vacancy/postdoc-security-safety-and-privacy-in-cooperative-and-autonomous-driving-947808.html
