Fully Funded PhD in Edge-Enabled Distributed Machine Learning with Multi-Modal Data at University College Dublin and Pragma-IoT University College Dublin in Ireland

University College Dublin and Pragma-IoT are recruiting a fully funded PhD candidate for the project “Edge-enabled Distributed Machine Learning with Multi-modal Data.” The position is hosted by University College Dublin in Ireland, with an industry host at Pragma-IoT in Thessaloniki, Greece. The student is expected to spend equivalent time at both institutions over the 36-month programme.

This PhD is a strong fit for applicants interested in computer science, information technology, electrical engineering, statistics, and related areas of edge computing, distributed machine learning, IoT, and multi-modal data fusion. The project focuses on lightweight distributed ML models for decentralised decision-making in delay-sensitive systems, with applications to real-time, privacy-aware intelligent systems and connected/cooperative automated mobility.

Research topics include building lightweight models for heterogeneous edge devices, integrating ML with digital twins for performance evaluation and continuous learning, and developing multi-modal fusion methods for data such as video and audio. The project also emphasizes constraints such as latency, privacy, limited observability, and restricted data sharing across devices.

Funding is fully provided for the entire 36 months. The post lists a total living allowance of €125,304.48, a mobility allowance of €25,560, and a family allowance of €17,820 where applicable. No tuition or fee waiver details are explicitly stated, but the project is described as fully funded.

Applicants should prepare a cover letter and CV and submit them through the application form linked in the post. The deadline for application is 25 April 2026.