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PhD Student and Postdoc Positions in 6G Vehicle-to-Everything Communications

hace 2 meses


Elche, Alicante, España Universidad Miguel Hernandez A tiempo completo
Research Opportunities in 6G V2X Communications

The Universidad Miguel Hernandez (UMH) is seeking highly qualified postdoctoral and PhD research fellows to contribute to the development of 6G Vehicle-to-Everything (V2X) communications. Our research group, UWICORE, is focused on designing scalable 6G V2X networks for Connected, Cooperative, and Automated Mobility (CAM).

Research Focus

Our research will focus on novel semantic V2X communications, AI-based collective awareness, and networking, and V2N (vehicle to network)-based solutions. We aim to design novel solutions for a paradigm shift in V2X communications, where the relevance of the information becomes the focus of the communications process.

Research Activities
  • Design of novel Artificial Intelligence (AI)-based solutions to process contextual information, generate collective awareness, and determine the relevance and semantic value of information.
  • Design of semantic and goal-oriented V2X communication protocols for scalable 6G V2X networks, including novel semantic Key Performance Indicators (KPIs) and scalable implicit feedback mechanisms.
  • Design of Vehicle-to-Network-to-Everything (V2N2X) solutions for deterministic support of CAM services in an interoperable multi-stakeholder framework with data sharing in the IoT-edge-cloud continuum.
  • Development of an advanced CAM simulation platform that integrates a realistic 3D modelling of the driving environment (CARLA) with a realistic autonomous driving software stack (AUTOWARE) and V2X connectivity.
Requirements

Postdoctoral candidates should have a PhD in Computer, Telecoms, Electrical, or Robotics Engineering (or closely related fields) and a high-quality track record of publications in relevant journals and conferences. PhD candidates should have a Master in Telecommunications, Electrical, Computer, or Robotics Engineering (or closely related disciplines).

Experience with discrete-event simulators, Robot Operating System (ROS), autonomous driving simulators (CARLA) and software (Autoware), and the design of AI-based solutions will be positively considered. Proficiency in programming languages such as C++ and Python, and experience with software development, debugging, and deployment is required. Experience with machine learning software such as PyTorch, Keras, or TensorFlow is a plus.

Critical thinking skills, team working attitude, and self-motivation are required. Proficiency in English writing and speaking, advanced communication and presentation skills to illustrate complex technical concepts are also required.