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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 2 months ago
Infrastructure? No Offer Description The research fellow will contribute to the design, development, and evaluation of methodologies and prototypes that integrate autonomous AI agents (agentic AI) with distributed
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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» Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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scheduling and leading meetings Conduct independent research projects on multi-agent systems and reinforcement learning to develop and es-tablish individual research profile Develop and set up production
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply
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antigenic evolution and design effective antibody, developing interpretable multimodal AI frameworks linking sequence, structure, and function, and designing autonomous AI agents for automated experimentation