UAV-Aided Localization and Multi-User Detection Using RSSI/AoA Techniques - 2026

Job Information
Organisation/Company: Politecnico di Milano
Research Field: Engineering Researcher
Profile: Recognised Researcher (R2) • Leading Researcher (R4) • First Stage Researcher (R1) • Established Researcher (R3)
Application Deadline: 17 Jun 2026 - 12:00 (UTC)
Country: Italy
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? No
Is the Job related to staff position within a Research Infrastructure? No

Offer Description
The activity focuses on UAV-assisted localization and user detection using RSSI- and Angle of Arrival (AoA)-based techniques. The goal is to enhance the accuracy and reliability of localization systems in complex and dynamic environments by leveraging the coordinated use of multiple drones and advanced radio signal processing methods.

The activity includes the design of a multi-drone system architecture, the development and optimization of localization algorithms (including RSSI, hybrid RSSI/AoA, and synchronization-based approaches), and the definition of path planning and cooperative orchestration strategies. Furthermore, the proposed solutions will be validated through simulations and experimental campaigns using SDR platforms and UAV prototypes, targeting applications in search and rescue scenarios, environmental monitoring, and advanced communication networks.

Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 30 points)

Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 50 points)

Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 20 points)

Eligibility

Country/ies of residence: All

Nationality/ies: All

#J-18808-Ljbffr