Human-Centric Digital Twin Ecosystems for smart environments

This research develops human-centric Digital Twin ecosystems for Industry 5.0 by enabling adaptive interaction between humans, robots, and smart environments. The project integrates Human Digital Twins, AI/ML, XR, robotics, and motion tracking technologies to support safer and natural collaboration in manufacturing and beyond. Applications include cobots, drones, humanoids, healthcare, and assistive environments, with emphasis on adaptability, collaboration, and explainable human-aware systems.

About the position:

Tallinn University of Technology (TalTech) is seeking a motivated full-time PhD student to contribute to research on Human-Centric Digital Twin Ecosystems for smart environments and Industry 5.0 systems. The project focuses on developing adaptive Digital Twin and Human Digital Twin technologies that improve collaboration between humans, robots, and intelligent env...