**Job Description**
The Robot Learning & Control Lab (REAL Lab) at NYU Abu Dhabi is seeking an outstanding Post-Doctoral Associate to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI for physical systems.
**Skills & Abilities**
• Strong focus on robot manipulation learning & control, and differential geometry.
• Knowledge of safe control methods including Lyapunov stability, barrier functions, and certified learning frameworks.
• Hands-on experience with robotic manipulators (preferably Franka Emika R3 robots) and real-world experimentation.
• Demonstrated high degree of self-motivation, research-oriented thinking, and a drive to operationalize robotic systems for real-world tasks.
• Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC.
• Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow.
• Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary research environment.
**Qualifications**
Required Degree(s) in:
• Robotics
• Control Engineering
• Machine Learning
• AI
• Mechanical Engineering
• Electrical Engineering
**Experience**
Other:
• Strong publication record in top-tier venues (ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC)
• Hands-on experience with robotic manipulators (preferably Franka Emika R3 robots) and real-world experimentation.
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