challenges in generating 3D representations suitable for high-precision measurement, digital twin creation, and the development of world models for intelligent systems. This includes studying reconstruction pipelines that can adapt to different levels of accuracy, latency, and computational resources, ranging from real-time perception scenarios to offline high-fidelity reconstruction. A central aspect of the research will be the exploration of trustworthy and explainable 3D reconstruction methods, aiming to improve the transparency, robustness, and reliability of reconstructed models. Particular attention will be given to how uncertainty, reconstruction quality, and measurement confidence can be estimated, communicated, and exploited in downstream applications. The expected outcome is the development of novel algorithms and frameworks for robust, accurate, and explainable 3D modelling, with potential applications in robotics, industrial inspection, autonomous systems, metrology, simulation, digital twins, and spatial intelligence.
This PhD opportunity is sponsored by Baker Hughes.
Where to apply
https://phd.fbk.eu/calls/detail/trustworthy-3d-reconstruction-and-surface-modelling-for-digital-twins-and-world-models/
Requirements
Research Field: Other
Education Level: Master Degree or equivalent
Work Location(s)
Number of offers available: 1
Company/Institute: Fondazione Bruno Kessler
Country: Italy
State/Province: Trento
City: Povo
Contact
State/Province: Trento
City: Trento
Website: https://www.fbk.eu/it/
Street: Via Santa Croce 77
Postal Code: 38122
