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of an AI System. The role involves performing research to create a configurable AI agentic framework that 1) integrates with the full security lifecycle of a system whilst 2) providing innovative
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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integration, contributing to CSIE’s mission of advancing autonomous multi-agent systems for national defence applications. Key Responsibilities: Design and develop hardware and software platforms for UAV swarm
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
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ATMRI at NTU a highly motivated Research Fellow to join its dynamic research team working at the forefront of Artificial Intelligence (AI), Multi-Agent Systems (MAS), Collaborative Decision Making
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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infectious agent responsible for 8.7% of out-patient managed exacerbations of COPD (8.7%). Using both traditional cell culture approaches and advanced 3D airway cell models, this project will investigate if a
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technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in this rapidly evolving field, Good personal properties and genuine willingness to collaborate within
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. • Familiarity with agent-based and compartmental models for infectious diseases. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience. Applicants
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infectious agent responsible for 8.7% of out-patient managed exacerbations of COPD (8.7%). Using both traditional cell culture approaches and advanced 3D airway cell models, this project will investigate if a