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program. You also possess: Experience with agent-based modelling, and/or programming, modelling and simulation (i.e. Python, Netlogo etc.). Interest in cities and society, and/or circular economy
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
reply. LLM-based agents is becoming a key part of our everyday life and work, handling multi-step actions in a variety of application domains. However, an important open challenge is making these agents
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PhD position in Human-Computer Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication
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the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
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of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
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unsolicited services Where to apply Website https://www.academictransfer.com/en/jobs/356790/phd-position-on-agent-based-mod… Requirements Additional Information Website for additional job details https
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). Where to apply Website https://www.academictransfer.com/en/jobs/356666/phd-on-develop-an-agent-based-d… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in
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Your Job: In the CrowdING project, you will develop agent-based movement models that realistically simulate different behaviors such as lining up, overtaking, or pushing. Based on this, you will
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to traditional remediation approaches. Where to apply Website https://www.sckcen.be/en/thesis-and-internship-topics/circular-and-nature-based… Requirements Research FieldBiological sciences » Biological
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be