Are you passionate about advancing robotics and artificial intelligence? The Robot Learning & Control laboratory at NYU Abu Dhabi is seeking a highly motivated Post-Doctoral Associate with a strong background in robot control, machine learning, and differential geometry. This role involves developing advanced algorithms to enhance the safety and robustness of human-robot interaction.
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Key Responsibilities:
- Learning-Based Control: Develop reinforcement learning, imitation learning, and learning from demonstration (LfD) techniques.
- Safe and Certified Control: Design control algorithms ensuring passivity, Lyapunov stability, and safety for human-robot collaboration.
- Advanced Manipulation and Navigation: Enable robots to interact with complex, dynamic environments, including deformable objects and uncertain conditions.
- Human-Robot Interaction: Create adaptive frameworks for effective collaboration in shared workspaces.
- Integration of AI and Robotics: Leverage cutting-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning.
Qualifications:
- PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field.
- Demonstrated experience in developing advanced control and learning algorithms, notably in human-robot interaction and with real robotic manipulators.
- Highly motivated and research-oriented, with a strong drive to operationalize robotic systems.
- Experience with Large Language Models (LLMs) is desirable; a strong motivation to explore this area is essential.
- Strong publication record in high-impact journals and conferences.
- Proficiency in programming languages and tools commonly used in robotics such as C++, MATLAB, Python, and ROS.
- Excellent communication and collaboration skills in an interdisciplinary research environment.
Application Requirements:
Interested applicants should submit:
- Cover letter
- Curriculum vitae with a full publication list
- Statement of research interests
- Two letters of reference
(all documents in PDF format)
Work Conditions:
- Position Duration: 2 years, with the possibility of renewal based on performance and project needs.
- Terms of Employment: Competitive with housing and educational subsidies for children.
Language Requirements:
Proficiency in English is expected.
For questions, please contact Prof. Fares Abu-Dakka at [email protected].
