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12th January 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Mutli-Agent Communication to Enhance Human Learning Apply for this job See
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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data, agentic AI synthetic data, differential privacy, and federated learning. If you require additional information, please contact Dr. Khalil . confirmation that you have been in touch with the PhD
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education to working life. The PhD supervisor will be Senior Researcher Ingunn Ness. Please contact her for more information about the project. About the work tasks: investigate how multi-agent ecosystems
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-preserving models that implement synthetic data; and developing generative AI models for accelerating data sharing using synthetic data, agentic AI synthetic data, differential privacy, and federated learning
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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for anomaly detection, risk analysis and autonomous navigation. The resulting AI-based agents and systems can support maritime situational awareness, security, safety and logistics. The PhD candidate will
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and Change Agent The role of the Board of Directors has evolved from monitoring performance, controlling the financials and approving strategy to becoming increasingly involved in and responsible
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multi-agent ecosystems. The approach followed encapsulates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will engage with designing and evaluating
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but not limited to Generative AI and multi-agent ecosystems. The approach followed encapsulates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will