AI Control Doctorate student
Core
Develop methods for safe navigation of wheel loaders on rough, dynamic, deformable terrain by building traversability costs from real-time sensor data and integrating them into safety controllers.
Role type
Industrial PhD researcher (robotics/control)
Builds
Safe navigation algorithms and control frameworks for construction machines
Domain
Robotics, autonomous vehicles, control theory, machine learning
Deliverable
research
Required skills
Python, C++, 3D perception, SLAM, control theory, machine learning
Preferred skills
Model predictive control, control barrier certificates, real-time 3D sensing and mapping, ML-based sensing and control
Technologies
Python, C++, GPU clusters, 3D sensors
Responsibilities
Develop traversability cost methods from sensor data, integrate costs into safety controllers, publish research at leading venues
Seniority
PhD candidate (4-5 years)
