Topic: Semantic Multi-Agent Mapping and Autonomous Air-Ground Coordination in GNSS-Denied Battlefield Environments We seek one experienced member for our team, a Scientist or Engineer with a PhD and a strong background in autonomous robotics and semantic perception. The successful candidate will conduct research and development on intelligent algorithms for heterogeneous robotic formations within the framework of the SABER project. The SABER project (Strategic Autonomous vehicles for BattlEfield Reconnaissance and logistics), funded by the European Defence Fund (EDF), aims to develop a universal, multi-agent system of collaborative flying (UAV) and ground (UGV) robots. The project focuses on "Universal Multi-Agent Retrofitting," enabling existing platforms to perform complex aerial deliveries and data gathering in hostile, GNSS-denied, and unstructured environments. SABER researches hardware and software components as add-on solutions to enhance autonomous capacities for near real-time situational awareness. The successful candidate will be involved in the implementation of semantic mapping and localization algorithms, as well as the development of coordination strategies for heterogeneous robotic agents. Responsibilities include the design of intelligent perception modules for unstructured terrains, the development of relative state estimation methods for multi-agent formations, and the preparation of technical documentation and scientific results. Furthermore, the candidate will support the technical requirements elicitation and contribute to the validation of the project’s autonomous skill libraries in accordance with the Grant Agreement.