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Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows. Responsibilities
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opportunity to work at the intersection of: Large Language Models (LLMs) AI Agents Multi-agent systems Blockchain and Web3 Decentralized Finance (DeFi) AI security and trustworthy AI
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The agent will take part to the ANR-funded VIEWS project (Voyega Into the Engine with
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A 3-year postdoc position in artificial intelligence is available at the Bernoulli Institute of the University of Groningen in the Netherlands. The position is situated in the multi-agent systems
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focus on data interoperability and on the integration of AI models, multi-agent systems, and intelligent workflows deployed across the Edge–Cloud–HPC Continuum. The research activities will also address
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experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in LLMs and agentic tools (MCP, LangChain, etc), the project will design
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resources. This PhD will develop learning methods for coordinating such agentic systems under changing network conditions, incomplete information, and operational constraints. The research will build
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-Augmented Generation (RAG) or multi-agent systems. Experience in preliminary engine design, with the GTlab framework or comparable simulation-based design environments, as well as in the conception
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perception, mapping, obstacle avoidance, and multi-agent path-planning algorithms, and integrate these capabilities on physical drone platforms. The work will involve system integration, simulation, hardware