2027 Summer Intern, PhD, Learning-Based Behavior for Special Vehicles
Hybrid
Core
Developing learning-based behavior policies for autonomous driving systems to improve decision-making and safety.
Role type
Summer PhD intern, learning-based behavior for special vehicles
Builds
Learning-based behavior policies, simulation benchmarks, and counterfactual suites
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Reinforcement learning, imitation learning, trajectory forecasting, Python, PyTorch, JAX, TensorFlow, C++
Preferred skills
Top-tier publications (CoRL, RSS, ICRA), transformer trajectory generation, autonomous simulation frameworks
Responsibilities
Prototype learning-based behavior policies, integrate multi-modal perception semantics, build simulation benchmarks/counterfactual suites, inspect 3D driving trajectories
Seniority
Summer intern, PhD candidate