PhD Student in Automatic Control with Focus on Sensor Fusion for Localization Opportunity
The position is part of the ELLIIT research program (https://elliit.se) and focuses on enabling reliable robot situational awareness in challenging and unpredictable environments. The project is grounded in statistical, model‑based methods that combine multi‑object tracking with simultaneous localization and mapping (SLAM). By leveraging semantic information, the aim is to improve data association, handle multiple hypotheses efficiently, and build consistent maps while simultaneously tracking dynamic objects. The overarching goal is to develop robust and scalable methods that enhance a robot’s understanding of its surroundings, with the intention of demonstrating the results in a simplified lab environment. The student will work closely with a twin PhD project at Lund University, which focuses on learning‑based generation of the type of semantic information used in this work.