• Are you inspired by the prospect of shaping the future of automotive systems?
• Are you fascinated by the latest developments in intelligent autonomous vehicles?
• Are you excited to work on adaptive automotive E/E architectures?
Then apply for the PhD position on Distributed adaptive configuration of next generation automotive E/E architectures!
Automotive systems are becoming increasingly complex. Modern features like active safety features, Advanced Driving Assistance Systems (ADAS), and autonomous driving have substantially increased the demand for real-time predictable communication and computation architectures within a vehicle. Moreover, run-time changes in the vehicle, environment conditions, and driving scenarios result in the need for dynamic configuration of the data communication network and the available processing resources. This has paved the road for the Time Sensitive Software Defined Networking (TSSDN) concept to be applied for in-vehicle (wired/wireless) networks. Standard reconfiguration protocols (e.g., the YANG model) are used for configuration of various types of network devices at run-time providing an abstraction of the underlying hardware. Therefore, the architecture of the communication network within a vehicle and the scheduling of its resources can be changed over time. Accordingly, the computation resources may need to be rescheduled to fulfill dynamic needs for processing sensory data. This process of reconfiguration must be efficient, real-time, and reliable. The goal of this PhD research is to design, model and implement mechanisms for distributed reconfiguration of automotive resources in a real-time and predictable manner. Efficient artificial intelligence solutions (e.g., reinforcement learning) have promising potential to be used for this problem. The models are expected to be implemented and validated on a predictable multiprocessor platform.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
The position will be hosted by the Networked Embedded Systems (NES-Lab) research Lab in the Electronic Systems (ES) group of the Electrical Engineering department, www.tue.nl/es. The ES group is a top research group consisting of five full professors, three associate professors, five assistant professors, several postdocs, about 40 EngD and PhD candidates, and support staff. The ES group is world-renowned for its design automation and embedded systems research. Our ambition is to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group. NES-Lab focusses on design, analysis, and optimization of reliable and low-power embedded networks as a main building block of the Internet-of-Things (IoT).
Curious to hear more about what it is like as a Ph.D. candidate at TU/e? Please view this video.
Information
Do you recognize yourself in the profile and would you like to know more? Please contact Dr. Majid Nabi, m.nabi@tue.nl, or Prof.dr.ir. Twan Basten, a.a.basten@tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, HRServices.Flux@tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button.
The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.