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Fondazione Bruno Kessler
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PhD Candidate - Artificial Intelligence for Tiny, Connected Devices: Enabling Learning and Inference on Resource-Limited Networked Embedded Systems Fondazione Bruno Kessler in Italy
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 27, 2026
Country
Italy
University
Fondazione Bruno Kessler

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About this position
PhD position at Fondazione Bruno Kessler in Italy on Artificial Intelligence for Tiny, Connected Devices, with a focus on enabling learning and inference on resource-limited networked embedded systems.
This project sits at the intersection of artificial intelligence, embedded systems, distributed computing, and low-power hardware and protocols. The research will explore approaches for TinyML and Edge AI in far-edge IoT settings, where devices must process multimodal data locally despite limited computation, energy constraints, and communication bottlenecks.
Potential research directions include hardware-aware scaling, model compression, and methods for diverse low-power devices in distributed and collaborative IoT scenarios; efficient and adaptive learning on-device or across heterogeneous nodes while reducing energy use and bandwidth; and maintaining explainability and robustness in compressed edge models to support trustworthy real-world deployment.
The opportunity is designed for a candidate whose profile and interests match the interdisciplinary topic. A Master Degree or equivalent is required. The opening is full-time, temporary, and based in Trento, Italy (Povo / Trento area).
Application deadline: 27 August 2026, 23:59 (Europe/Rome). The announced start date is 1 November 2026. Interested applicants should apply via the official PhD call page and follow the instructions on the application website.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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