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Postdoctoral Researcher
Job Description & How to Apply Below
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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