PhD Student Positions on Networked Physical AI Multi-Agent Systems (Elche)

PhD Student Positions on Networked Physical AI Multi-Agent Systems (Elche)

12 ago
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Universidad Miguel Hernandez de Elche
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Elche

12 ago

Universidad Miguel Hernandez de Elche

Elche

The Networked Systems Lab of the Universidad Miguel Hernández (UMH) de Elche (Spain) offers several fully-funded PhD positions in Networked Physical AI Multi-Agent Systems.

Successful candidates will work in an internationally recognized research group with extensive collaborations in academia and industry, publish in top-tier journals and conferences, contribute to active projects (and proposals) and have opportunities for international collaborations. The Networked Systems Lab (formerly UWICORE laboratory) is internationally-recognized for its research on wireless networking for connected and automated mobility and smart manufacturing. The laboratory is actively involved in EU and national projects, standardization and R&D; contracts with industrial partners. Some of the PhD projects will be carried out in collaboration with industrial partners in the US. The laboratory is located in the Mediterranean coast of Spain (Elche) and is part of the Department of Communications Engineering of the Universidad Miguel Hernández (UMH) and of the Institute for Engineering Research (I3E)



of Elche.

Tasks

Future Physical AI systems will be characterized by large populations of autonomous embodied agents – including collaborative robots and connected autonomous vehicles– operating in shared physical environments. Unlike today's agentic AI systems, which primarily execute predefined workflows in structured and well-defined digital environments, future Physical AI agents will have to perceive, reason and act under unstructured and continuously evolving real-world conditions and objectives. This calls for a fundamental rethinking of how agents interact, requiring intelligence and semantic and task-oriented networking to be co-designed so that agents can collaboratively construct meaningful representations of the physical world, reason over existing (shared) context and knowledge, and adapt their networking and interactions to efficiently accomplish individual and collective tasks.

📌 PhD Student Positions on Networked Physical AI Multi-Agent Systems (Elche)
🏢 Universidad Miguel Hernandez de Elche
📍 Elche

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