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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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experience in complex/enterprise environments, including multi-cloud implementations, data modeling, and integration design with direct experience in Education Cloud/EDA or similar Industries Clouds solutions
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of each startup's narrative to investor profiles, (3) recommend potentially relevant startups for each investor, and (4) implement a multi-agent system for automatically generating reports on recommended
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algorithms, including exploration, empowerment, and multi agent coordination. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged
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for career success in business and government. Its research-based faculty and focus on multi-disciplinary academic programs, inclusive entrepreneurship, modular education, experiential learning, and corporate
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projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search assistants, multi-omics analysis tools, life sciences
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PREP is available at: https://case.edu/medicine/admissions-programs/postbaccalaureate-research-education-program ESSENTIAL FUNCTIONS Perform specific experiments under supervision. (65%) Communicate
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diverse academic and administrative workloads Experience supporting AI research platforms and tools, including managed AI services, model experimentation environments, and emerging multi‑agent systems