Research Fellow (Computer Science)
Core
Develop sampling-based and reinforcement learning motion planning algorithms for multiple robotic arms in automotive manufacturing.
Role type
Research Fellow (Robotics & AI)
Builds
Motion planning algorithms for robotic arms in automotive manufacturing
Domain
Automotive manufacturing + Robotics + AI
Deliverable
production ML models
Required skills
reinforcement learning, sampling-based motion planning, robotics kinematics, trajectory planning, control algorithms, simulation-to-real deployment, software design, algorithmic development
Preferred skills
robotics dynamics, path planning for robotic arms, deep learning
Technologies
simulation software, manufacturing systems
Responsibilities
Develop and test motion planning algorithms in simulation and real environments; integrate software and hardware with manufacturing systems; publish research papers; collaborate with project teams; implement innovative solutions from research papers
Seniority
Senior, hands-on IC
