PhD - Predictive Occupancy World Models for End-to-End Autonomous Driving
Core
Develop generic predictive occupancy world models and end-to-end driving architectures for autonomous systems.
Role type
PhD researcher (Computer Vision & AI)
Builds
4D world dynamics models, end-to-end driving systems, perception pipelines
Domain
Autonomous driving, Computer Vision, Deep Learning
Deliverable
research
Required skills
Deep Learning, Computer Vision, Python, 3D Computer Vision, Occupancy Networks, Sensor Fusion
Preferred skills
End-to-End Driving, World Models, Autonomous driving datasets, Simulation environments
Technologies
PyTorch
Responsibilities
Design architectures for predictive occupancy models, research and implement E2E driving systems, develop perception systems, test models in simulation and real-world data, publish findings at conferences
Seniority
PhD Candidate
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