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Your Job: In this master thesis, a multi-agent-based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid
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. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
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are used to enable systematic comparisons between alternative strategies in simulated environments. The project also studies simulation agents operating within these models, including both policy-based
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new generative AI models based on Model-Context Protocols and self-learning agents to analyze complex real-world scenarios in real time, particularly those involving cybersecurity challenges. It will
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. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
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approaches to understanding and modelling human behaviour (prior technical expertise is beneficial but not essential) A proven background in one or more of these areas: agent-based modelling, big data, data
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Your Job: As part of this master`s thesis, the agent-based energy market simulation ASSUME should be expanded to include the local neighborhood. The goal is to further develop the existing
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focus on traceability, verification, and reproducibility of AI-assisted software development processes. Modern software development increasingly relies on AI-based tools (e.g., large language models and
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. Competency in agentic AI and related application development, including experience designing, building, and deploying AI-driven systems such as LLM-based applications, autonomous agents, and intelligent
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The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families