Are you passionate about advancing robotics and artificial intelligence? The Robot Learning & Control laboratory in the Division of Engineering at NYU Abu Dhabi is seeking a highly motivated Post-Doctoral Associate to join our team. The successful candidate will have a strong background in robot control, machine learning, and differential geometry, focusing on developing advanced algorithms to enhance the safety and robustness of human-robot interaction.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
The postdoc will work on projects focusing on:
- Learning-Based Control: Developing reinforcement learning, imitation learning, and learning from demonstration (LfD) techniques to improve adaptability and efficiency in dynamic robotic systems.
- Safe and Certified Control: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration.
- Advanced Manipulation and Navigation: Enabling robots to handle complex, dynamic environments, including those involving deformable objects and uncertain conditions.
- Human-Robot Interaction: Creating adaptive frameworks for safe, effective collaboration between robots and humans in shared workspaces.
- Integration of AI and Robotics: Leveraging cutting-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems.
Location: NYU Abu Dhabi, Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Duration: 2 years, with the possibility of renewal based on performance and project needs
Qualifications:
- PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and differential geometry.
- Demonstrated experience in developing advanced control and learning algorithms, particularly in the context of human-robot interaction, as well as experience working with real robotic manipulators.
- High degree of self-motivation, research-oriented thinking, and a drive to operationalize robotic systems for real-world tasks.
- Experience with Large Language Models (LLMs) is highly desirable; strong motivation to explore this area is essential if not.
- 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, with the ability to work effectively in an interdisciplinary research environment.
Application Information:
For consideration, applicants need to submit a cover letter, curriculum vitae with a full publication list, a statement of research interests, and two letters of reference, all in PDF format. For inquiries, please email Prof. Fares Abu-Dakka at [email protected].
Compensation:
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled.
