Publisher
source

Fares Abu-Dakka

6 months ago

Robotics New York University Abu Dhabi in United Arab Emirates

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Arab Emirates

University

New York University Abu Dhabi

Social connections

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Python Programming
Navigation
Mobile Robotics
Robotics
Barrier Function
Certification Management
Instrumentation And Control
Ro
Autonomous System
Lyapunov Function
Machine learning

About this position


12 Sep 2025
Job Information
Organisation/Company

NEW YORK UNIVERSITY ABU DHABI
Research Field

Engineering
Engineering
Researcher Profile

Established Researcher (R3)
Country

United Arab Emirates
Application Deadline

12 Oct 2025 - 00:00 (UTC)
Type of Contract

Permanent
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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.

The postdoc will work on projects focusing on one or more of the following:

  • Robot Learning & Autonomy – Developing algorithms that allow 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, for Mobile Manipulators, that integrate environmental semantics and spatial reasoning.
  • AI for Physical Systems – Leveraging machine learning and AI to improve 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:

Applicants must have a 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 (preferebly Franka Emika R3 robots) and real-world experimentation.
  • Demonstrate a 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.

For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript and two letters of reference, all in PDF format. If you have any questions, please email Prof. Fares Abu-Dakka at [email protected] .

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.

Position Details

Duration : 2 years, with the possibility of renewal based on performance and project needs.

Location : NYU Abu Dhabi, a world-class research institution offering a collaborative, interdisciplinary research environment.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer

UAE Nationals are encouraged to apply


Where to apply
Website
https://www.timeshighereducation.com/unijobs/listing/398619/post-doctoral-assoc…

Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
NEW YORK UNIVERSITY ABU DHABI
Country
United Arab Emirates
City
Abu Dhabi, United Arab Emirates
Geofield


Contact
City

Abu Dhabi, United Arab Emirates

STATUS: EXPIRED

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Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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