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Field
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proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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Conduct literature watch / scientific monitoring on fundamental aspects of computer science, serious games, and agent-based simulation Contribute to the synergy between conceptual, technological, and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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Conduct literature watch / scientific monitoring on fundamental aspects of computer science, serious games, and agent-based simulation Contribute to the synergy between conceptual, technological, and
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engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Multi
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of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous
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-programme/gpa-or-gmatgre ) Statement of Purpose written on Hankens template, see: https://www.hanken.fi/en/apply/application/phd-programme/attachments ), Please submit all application materials in English