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what alignment is required between the world models of agents and humans that collaborate. You also develop communicative strategies for the agent to detect misalignments and take actions to resolve
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are they talking about, what do they want, need, and value? What are they concerned about? What AI techniques and intelligent agents can we develop to work supportively and/or unobtrusively along with them
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you apply to! Join our team! We are inviting prospective researchers to apply for two PhD positions led by Dr. Mahsa Shabani: Project 1:Socio-Ethical and Legal Requirements for Multi-Agent Generative AI
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for the analyses will be the intervention plans of multi-stakeholder platforms (Ethiopia) and expected behaviors of agripreneurs and farmers (Kenya) using agent-based models; Assess the potential for co-developed
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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we welcome, examples of relevant research directions include (but are not limited to): understanding and solving PDEs for scientific computing using machine learning, agentic AI for autonomous
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engineering, operations research, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent-based modeling, MCDA, causal mapping
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions