Research Assistant — Robotic Manipulation Simulation & Sim-to-Real Transfer
Core
Lead simulation-driven research on dexterous robotic manipulation and sim-to-real transfer for Department of Defense-funded projects.
Role type
PhD-level Part-Time Research Assistant (Robotics)
Builds
High-fidelity manipulation simulations and sim-to-real transfer pipelines for physical robotic hardware.
Domain
Robotics, Machine Learning, Defense Research
Deliverable
production ML models | infrastructure
Required skills
PhD in Robotics/ME/EE/CS, robotic manipulation research, NVIDIA Isaac Sim/Isaac Lab, Python, PyTorch, sim-to-real transfer techniques, physical robot hardware deployment
Preferred skills
ROS/ROS 2, dexterous robotic hands, GPU-accelerated parallel simulation, USD/OpenUSD asset authoring
Technologies
NVIDIA Isaac Sim, Isaac Lab, MuJoCo, PyBullet, Python, PyTorch, ROS, ROS 2, USD, OpenUSD
Responsibilities
Design and validate high-fidelity robotic manipulation simulations; develop and benchmark manipulation policies; execute sim-to-real transfer pipelines; deploy policies on physical robot hardware; integrate perception and control stacks; maintain reproducible codebases and documentation; mentor junior students
Seniority
PhD-level, hands-on IC
