Postdoctoral Researcher

January 27, 2026
Full Time
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Job Description

Project: SAIN-DT – Semantic AI Navigation with Digital Twins and Hyper-Precision Localization for Smart Indoor Mobility
Employment Type: Full-time

Position Summary

The University of Dubai invites applications for a full-time Postdoctoral Researcher to join the SAIN-DT research project. The successful candidate will contribute to the technical development, integration, and testing of an autonomous indoor drone navigation system operating in GPS-denied environments. The role involves hands-on research and system development across autonomous systems, AI, sensor fusion, and digital twin–enabled simulation, with particular emphasis on smart indoor environments.

Key Responsibilities

  • Lead the design, integration, and testing of an autonomous indoor drone platform.
  • Develop and maintain ROS-based flight control and navigation software.
  • Implement and optimize indoor localization and sensor fusion using UWB, ultrasonic, IMU, and onboard sensors.
  • Integrate a Jetson-based onboard AI stack for real-time navigation and decision-making.
  • Support digital twin–based simulation, mission rehearsal, and system validation.
  • Conduct indoor experimental testing and performance evaluation in controlled environments.
  • Contribute to research publications, technical reports, and project documentation.
  • Supervise and mentor graduate research assistants.
  • Collaborate with academic and industry partners involved in smart infrastructure and public safety applications.

Required Qualifications

  • PhD in Robotics, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related field.
  • Strong experience with autonomous systems or UAVs.
  • Proven expertise in ROS / ROS2 and Linux-based robotic systems.
  • Hands-on experience with indoor localization and sensor fusion (UWB, ultrasonic, IMU, or similar).
  • Hands-on experience with digital twins of built environments or infrastructure systems.
  • Experience in real-time monitoring and predictive modeling using sensor-driven data.

Desirable Skills

  • Experience with NVIDIA Jetson platforms and edge AI deployment.
  • Familiarity with digital twins, simulation environments, or cyber-physical systems.
  • Knowledge of probabilistic estimation methods.

 

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