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for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q, to enable
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plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
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, information retrieval models, pedagogical agents, and user experience evaluators) in a cohesive and distributed architecture. Design and evolve the system architecture, applying recognized models (such as the 4
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000
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to coordinate multiple specialized models (core LLMs, retrieval models, pedagogical agents, UX evaluators) in a distributed architecture. Decomposition and Chaining of Pedagogical Tasks:Design computational
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environments, including but not limited to Generative AI and multi-agent ecosystems. The Postdoc fellow will engage with developing and finetuning models from the provided by the partners data (e.g., small
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interacting with the energy markets. AUTONOMY will pioneer a novel transfer learning approach to exchange expert knowledge amongst energy manager agents in different communities across the grid, as part of a
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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. Proven expertise in AI/ML for systems or hardware co-design, including use of reinforcement learning, LLMs, graph-based optimization, or agentic AI. Familiarity with security concepts and cryptographic