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.
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The postdoc will work on projects focusing on one or more of the following areas:
- Robot Learning & Autonomy: Developing algorithms that enable robots to learn (via exploration or imitation) from interaction, adapt to new tasks, and generalize across environments.
- Dexterous Manipulation: Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios, including those involving deformable objects and uncertain conditions.
- Semantic Navigation & Mapping: Designing solutions for robot navigation in Mobile Manipulators that integrate environmental semantics and spatial reasoning.
- AI for Physical Systems: Leveraging machine learning and AI to improve the performance, safety, and adaptability of robots, autonomous vehicles, and other intelligent machines.
- Safe and Certified Control for Manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration.
Qualifications:
- PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field.
- Strong focus on robot manipulation learning & control, and differential geometry is a plus.
- 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.
- Strong publication record in top-tier venues such as ICRA, IROS, and NeurIPS.
- 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.
Work Conditions:
- Duration: 2 years, with the possibility of renewal based on performance and project needs.
- The terms of employment are very competitive and include housing and educational subsidies for children.
Application Process:
To be considered, applicants should submit a cover letter, curriculum vitae with a full publication list, a statement of research interests, a transcript, and two letters of reference, all in PDF format. For inquiries, candidates can contact Prof. Fares Abu-Dakka at [email protected].
Language Requirements:
Proficiency in English is expected.
NYU Abu Dhabi encourages applications from all qualified candidates, including women, minorities, veterans, and individuals with disabilities.
