Postdoc Position in Cooperative Perception & Multiterminal AI for Autonomous Vehicles

Updated: about 2 hours ago

The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher

More concretely your work package contains: 

We invite you for a fully-funded postdoctoral researcher within the prestigious European Research Council (ERC) Consolidator Grant “Reinventing Multiterminal Coding for Intelligent Machines (IONIAN).”

Why cooperative perception?

State-of-the-art autonomous vehicles can miss a critical obstacle when their camera is blinded by sun glare, or their LiDAR beam is blocked by a truck. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor views in real time. Yet raw video and point-cloud streams are massive, wireless links are unreliable, and safety demands that information be both timely and trustworthy.

IONIAN tackles this bottleneck head-on. We will re-invent multi-agent AI, cooperative vision, and compression protocols so fleets of intelligent machines can perceive the world—robustly, efficiently, and in a trustworthy manner—even when individual sensors fail or are occluded.

Position Overview

As a postdoctoral researcher, you will forge a novel framework for cooperative perception by disrupting today’s most vibrant research threads in AI:

  • Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene.
  • Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a cooperative perception setting.
  • Semantic-Aware Compression & Network Information Theory: Derive new rate–distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close the
  • loop between information theory and AI models for cooperative perception.
  • Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds.

You will:

  • Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE journals (T-PAMI, T-IP, T-IT, T-CSVT and T-SP).
  • Collaborate with top EU & US labs and industry partners.
  • Mentor PhD and Master’s students and assist in project follow-up.

For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 



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